TensorFlow & Chatbots – Meta-Guide.com

Notes:

These are the three main categories of machine learning algorithms.

In supervised learning, the algorithm is trained on a labeled dataset, where the correct output is provided for each example in the training set. The goal of the algorithm is to make predictions for new, unseen examples based on the patterns it learned from the training data. Examples of supervised learning tasks include classification and regression.
In unsupervised learning, the algorithm is not given any labeled training examples. Instead, it must discover the patterns in the data through techniques such as clustering. Unsupervised learning is often used for tasks such as dimensionality reduction and density estimation.
In reinforcement learning, the algorithm learns by interacting with its environment and receiving feedback in the form of rewards or penalties. The goal is for the algorithm to learn the best actions to take in a given situation in order to maximize the cumulative reward. Reinforcement learning is used in a variety of applications, such as controlling robots and optimizing web searches.

TensorFlow is an open-source software library for machine learning and artificial intelligence. It was developed by Google and is used by a wide range of organizations and individuals for a variety of tasks, including machine learning, data analysis, and scientific computing.

One way that TensorFlow can be used with dialog systems, such as chatbots, is to build and train machine learning models that can generate responses to user input. For example, a chatbot can be trained on a large dataset of conversational exchanges, and the TensorFlow model can learn to generate appropriate responses based on the patterns it learns from this data.

There are various techniques and approaches that can be used to build and train chatbots with TensorFlow, including the use of natural language processing (NLP) techniques and neural network-based models. TensorFlow provides a range of tools and libraries that can be used to build and deploy machine learning models, including pre-processing and feature engineering tools, a variety of model architectures and optimization algorithms, and tools for deploying models to production environments.

Resources:

github.com/google/seq2seq .. a general-purpose encoder-decoder framework for tensorflow

Wikipedia:

References:

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
A Géron – 2019 – books.google.com
Page 1. 2 TenUspodr n Fa d lo te w Edd 2 f o it r io n Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow Concepts, Tools, and Techniques to Build Intelligent Systems Aurélien Géron Page 2 … 783 G. TensorFlow Graphs …

Loan Pal–A Chatbot To Profferspecifics On Loan Schemes
PON LOAN – researchgate.net
… In this work, we explain the design and working of a chat bot which is … Keywords— Chatbot, TensorFlow, loans, insurance, python, machine learning, Artificial Intelligence … advancement in machine learning and Artificial Intelligence concepts led to the development of chatbots …

Training an AI chatbot on AWS
K Jaitly – International Journal for Advance Research and …, 2019 – ijarnd.com
… Also, the techniques used to create the AI chatbot such as the Tensorflow API and python modules like Pandas, Numpy, Tensorflow and setting up the virtual environment through anaconda. 1.1 Conversational Agents Chatbots, likewise called Conversational Agents or Dialog …

Improvement of Chatbot in Trading System for SMEs by Using Deep Neural Network
S Prasomphan – 2019 IEEE 4th International Conference on …, 2019 – ieeexplore.ieee.org
… Keywords- NLU; NLG; Word Embedding; Tensorflow; RNN; LSTM; Sequence to Sequence Model; chatbots I. INTRODUCTION Chatbot stands for chat robot, a type of computer program that communicates, responding to human in a conversational manner …

Using Chatbot in Trading System for Small and Medium Enterprise (SMEs) by Convolution Neural Network Technique
S Prasomphan – Proceedings of the 2019 3rd High Performance …, 2019 – dl.acm.org
… networks Keywords NLU; NLG; word embedding; tensorflow; CNN; LSTM; sequence to sequence model; chatbots. 1. INTRODUCTION Chatbot stands for chat robot, which can respond to human in a conversation manner. Chatbot …

Peculiarities of Human Machine Interaction for Synthesis of the Intelligent Dialogue Chatbot
I Sidenko, G Kondratenko, P Kushneryk… – 2019 10th IEEE …, 2019 – ieeexplore.ieee.org
… TensorFlow framework is used for deep learning … Besides, chatbot is a program that wor3s inside the messenger. Such program is able to … Chatbots are typically used in dialogue systems for various practical purposes including customer service or information acquisition …

Recent advances in conversational NLP: Towards the standardization of Chatbot building
M Mnasri – arXiv preprint arXiv:1903.09025, 2019 – arxiv.org
… are effective however they are more performing in generalist chatbots than in task oriented chatbots … This process slows down the progress in the chatbot field … the available open source standards for Machine Learning and Deep Learning techniques (eg, TensorFlow (Abadi et …

Deep learning based chatbot models
R Csaky – arXiv preprint arXiv:1908.08835, 2019 – arxiv.org
… These chatbot programs are very similar in their core, namely that they all use hand-written rules to generate … In this work, only deep learning methods applied to chatbots are discussed, since neural networks have been the … Figure 4: A 3 layer seq2seq model [Tensorflow, 2017] …

Open Domain Chatbot Based on Attentive End-to-End Seq2Seq Mechanism
SS Abdullahi, S Yiming, A Abdullahi… – Proceedings of the 2019 …, 2019 – dl.acm.org
… all of the stories of failed chatbot implementations is this important detail: Chatbots must be … proposes an efficient and scalable model for training an end to end chatbot capable of … This model is built on Google Tensorflow (version 1.13) framework, which facilitate the training of …

Sweetie 2.0 Technology: Technical Challenges of Making the Sweetie 2.0 Chatbot
H Henseler, R de Wolf – Sweetie 2.0, 2019 – Springer
… Chatbots Magazine, May 6, 2017. https://chatbotsmagazine.com/contextual-chat-bots-with- tensorflow-4391749d0077. Accessed 6 June 2018. Johnson K (2016) Microsoft’s Zo chatbot refuses to talk politics, unlike its scandal-prone cousin Tay …

Norwegian Generative Chatbot using Personal Chat Log Data
T Iveland, VA Bergum – vegarab.com
… project utilises a fairly standard sequence-to-sequence model with attention imple- mented using Keras, which is illustrated in figure 1. Keras and TensorFlow does not … This was done by attempting to converse with the chatbot. This project is concerned with Norwegian chatbots …

Self-improving Chatbots based on Reinforcement Learning
E Ricciardelli, D Biswas – researchgate.net
… user’s intention, which is formulated through the utterance 2https://rasa.com/ 3https://www. tensorflow.org/hub … a ”No intent detected”, as several questions are actually out of the chatbot scope, but … our approach is in providing a practical tool to improve large-scale chatbots (with a …

Artificial intelligence chat bot
S Chaya – 2019 – aiktcdspace.org
… 38 Figure 5.3: Tensorflow ….. 42 … smart home, to playing one’s favorite tunes etc. Chatbot has become more popular … But yet to accomplish many tasks there is need to make chatbots as efficient as possible. IR@AIKTC …

Expression Tracking with OpenCV Deep Learning for a Development of Emotionally Aware Chatbots
KALR Carranza, J Manalili, NT Bugtai… – 2019 7th …, 2019 – ieeexplore.ieee.org
… expression recognition could provide a more personal and immersive experience while talking to these chatbots … Two references were used to develop the program: scripted chatbot [8] and facial expression … Dependencies 1 numpy 2 tensorflow 3 cv2 4 time 5 glob 6 sys 7 os 8 …

Designing dialogue systems: A mean, grumpy, sarcastic chatbot in the browser
S Ili?, R Nakano, I Hajnal – arXiv preprint arXiv:1909.09531, 2019 – arxiv.org
… Sarcasm 71.3 User I have to admit I like chatbots Personality 73.8 … Emotion 54.4 Chatbot you’re so emotional … To facilitate user interaction and evaluation, we used TensorFlow.js, a JavaScript library for deploying machine learning models in the browser [15]. 2.1 Evaluation …

Server-Less Rule-Based Chatbot Using Deep Neural Network
SK Nagarajan – 2019 – diva-portal.org
… Audience, Salesforce, and myclever have conducted a recent survey in 2018 to determine the customer sentiments around chatbot services [2 … Chatbots are much preferred over other communication channels especially based on the survey results as represented in Table 1.1 …

An Assistive Bot for Healthcare Using Deep Learning: Conversation-as-a-Service
D Shah, TJ Philip – Progress in Advanced Computing and Intelligent …, 2019 – Springer
… In this study, we have built a contextual Chatbot using TensorFlow and Python—to … The most important and primary benefit of Chatbots in healthcare domain is the supreme ability to provide advice and information for a healthy life to help those people who lack basic …

A conceptual modeling approach for the rapid development of chatbots for conversational data exploration
N CASTALDO – 2019 – politesi.polimi.it
… Another aspect that must be considered, during the development of a chat- bot, is the … open source machine learning tools for developers to create contextual AI assis- tants and chatbots” … The first one is a chatbot framework with Machine Learning-based dia- logue management …

Smart Parking Model based on Internet of Things (IoT) and TensorFlow
MO Hasan, MM Islam, Y Alsaawy – 2019 7th International …, 2019 – ieeexplore.ieee.org
… Keras has a built-in API to implement CNN. We have developed the whole process using TensorFlow framework. Fig … 3, we develop a navigation bot system using Ten- sorFlow. The navigation bot is mainly a chatbot which will guide a driver to the parking space that he booked …

Information technology in creating intelligent chatbots
A Yarovyi, D Kudriavtsev, S Baraban… – … , Industry, and High …, 2019 – spiedigitallibrary.org
… AForge, Alexa, TensorFlow Absent TensorFlow, Brain.js, Synaptic, Neataptic, Conventjs, Webdnn … [3] Shubham, A., “Maintaining Context in Chatbot,” Chatbots magazine, <https://chatbotsmagazine. com/ maintaining- context-in-chatbots-2016b6a5b7c6> (15 April 2019) …

SymantoResearch at SemEval-2019 Task 3: Combined Neural Models for Emotion Classification in Human-Chatbot Conversations
A Basile, M Franco-Salvador, N Pawar… – Proceedings of the 13th …, 2019 – aclweb.org
… such as social listening, personalised marketing, customer caring, or in building emo- tionally intelligent chat-bots: in this … emotion (SAD, HAPPY, ANGRY, or OTHERS) in the third turn of a human–chatbot- human interaction … Tensorflow: A system for large-scale machine learning …

Building Chatbots the Hard Way
S Raj – Building Chatbots with Python, 2019 – Springer
… the file created and change the name to data.json and write your intents for your chatbots … The code for training the chatbot model will create the models folder, which you can see … For the above text, my output looks like the following: INFO:tensorflow:Restoring parameters from …

ChatBot for College Website
S Sonawane, R Shanmughasundaram – pdfs.semanticscholar.org
… Encoder-Decoder model was created using TensorFlow APIs which is a library for deep neural … 10.1109/CBMS.1997.596433 5. B. Setiaji and FW Wibowo, “Chatbot Using a Knowledge in … doi: 10.1109/ISMS.2016.53 6. HN Io and CB Lee, “Chatbots and conversational agents: A …

A Survey Paper on Chatbots
A Shaikh, D More, R Puttoo, S Shrivastav, S Shinde – 2019 – academia.edu
… tasks, and exactly in the text generation context it can be explored using basic concepts of Tensorflow and Theano … Proving their usability in the field of customer support, the chatbots can also be extended to help users mentally like … Our chatbot, HappySoul, is one such approach …

Dually interactive matching network for personalized response selection in retrieval-based chatbots
JC Gu, ZH Ling, X Zhu, Q Liu – arXiv preprint arXiv:1908.05859, 2019 – arxiv.org
Page 1. Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots … Abstract This paper proposes a dually interactive matching network (DIM) for presenting the personalities of dialogue agents in retrieval- based chatbots …

AshesiBot: An automated chatbot for handling Ashesi Facebook Messenger platform
PR Katena – 2019 – air.ashesi.edu.gh
… make wise recommendations [4]. In the field of medicine, chatbots can be of greater value to the psychiatric patients … component that feeds the NLU model with data from the user via the chatbot channel. The … TensorFlow or spaCy or some custom pipeline …

Multi-Turn Chatbot Based on Query-Context Attentions and Dual Wasserstein Generative Adversarial Networks
J Kim, S Oh, OW Kwon, H Kim – Applied Sciences, 2019 – mdpi.com
… we propose an attention method between a query and its previous utterances that helps chatbots selectively consider … ie, a last output vector of the response decode; a decoded response of a chatbot), the RR … The proposed model was implemented using TensorFlow 1.4 [17] …

Machine Reading Comprehension for Answer Re-Ranking in Customer Support Chatbots
M Hardalov, I Koychev, P Nakov – Information, 2019 – mdpi.com
… we use the Adam [39] optimizer with decaying learning rate, as implemented in TensorFlow [40 … focus primarily on word overlap and measure the similarity between the chatbot’s response and … 43,44] that such word-overlap measures are not very suitable for evaluating chatbots …

INTROSPECTION OF NATURAL LANGUAGE PROCESSING FOR AI CHATBOT
S Kulthe, MV Tiwari, MM Nirmal, B Chaudhari – ijtre.com
… With the AIML based chatbots the implementation language models got easier … in [] proposed a system that uses tensorflow to implement a neural network and trained it with intent file … The accuracy of this Chatbot is directly proportional to the size of intent file used for training the …

CHATBOT using Deep Learning (Seq2Seq Models)
G Rajpoot, A Srivastava, D Kumar, M Sehrawat – ijntr.org
… I. INTRODUCTION Highlight There is a growing excitement around conversational agents (CAs) or “chatbots” … Recently, the term “chatbot” is used to refer to CAs that employ primarily … MOST IMPORTANT TOOLS USED: Defined in file: TensorFlow/python/ops/gen_array_ops.py …

Chatbot in English Classrooms
M Vogel, I Nussbaumer – fhnw.ch
… Its architecture does not contain a dialog manager, a component which keeps track of the state of the conversation (see chapter 2.1.5). This limits the chatbot to basic small talk. Nevertheless, ELIZA inspired a succeeding generation of chatbots building on top of pattern matching …

Survey of Textbased Chatbot in Perspective of Recent Technologies
B Som, S Nandi – … Conference, CICBA 2018, Kalyani, India, July …, 2019 – books.google.com
… J. Comput. Eng. Appl. 11 (2017). ISSN 2321-3469 Mobgea: The Power of Chatbots: The art of Conversation. White Paper (2017) Shah, V.: Autopsy of a Chatbot: The 7 core components needed for a successful implementation (2017). https://medium … https:// magenta. tensorflow …

Multi-modal Emotion Analysis for Chatbots
G Yang, J Jin, D Kim, HJ Joo – … on High-Performance Computing and Big …, 2019 – Springer
… However, it is insufficient to describe real emotional situation for chatbots. As with (Wu et al … We modified it for our chatbot that is designed to deal with reservation request in hospitals … Our implementation relied on Python, TensorFlow, and Keras …

Conversational AI Chatbot Based on Encoder-Decoder Architectures with Attention Mechanism
A Ali, MZ Amin – researchgate.net
… Some of the chatbots using machine learning algorithms often adhere to simple algorithms … For developing final chatbot, popular movie subtitle corpus ”Cornell movie subtitle corpus” has been … Seqto-Seq) module was used as suggested by the Google Tensorflow and Sequence …

Stacked Multi-head Attention for Multi-turn Response Selection in Retrieval-based Chatbots
C Yu, W Jiang, D Zhu, R Li – 2019 Chinese Automation …, 2019 – ieeexplore.ieee.org
… Recently, response selection combined interaction-based idea with various attention mechanism become popular in retrieval-based chatbots. Wu [6] proposed the Sequential Matching Networ … We use TensorFlow as framewor? to build our model …

NLP-based chatbot for HAMK
D Trifunovic – 2019 – theseus.fi
… 19 2.2.6 Types of chatbots ….. 20 2.2.7 Processing of a chatbot ….. 23 2.2.8 Training and testing ….. 23 …

Development of Chatbot using Deep NLP and Python
JS Sidhu – 2019 – 122.252.232.85
… Chatbots are not much accurate in providing the answers or solutions, though there are many chatbots. Student are … And of course following a step by step approach erful Chatbot by implementing a state of the art deep and LP model w … lents which will be tensorflow …

A chatbot assistant for writing good quality technical reports
J Pereira, MA Barcina – … of the Seventh International Conference on …, 2019 – dl.acm.org
… 5 Telegram chatbots answers to special commands that follow the pattern /verb … Using the images from the PDF reports, we trained9 an image classifier with Google’s Tensorflow machine learning library to detect whether an … A chatbot assistant for writing good quality reports …

A Deep Learning Based Chatbot for Campus Psychological Therapy
J Yin, Z Chen, K Zhou, C Yu – arXiv preprint arXiv:1910.06707, 2019 – arxiv.org
… These systems consist of two chatbots, one sentiment analysis model, and one classifier model … stress and the following psychological distresses, it is crucial for our chatbot model to … We implement the model using Keras with TensorFlow backend, in a single Jupyter Notebook …

TD-GAN for Chatbot Text Generation
Y Huang, W Zhang, Y Zhou – pdfs.semanticscholar.org
… We implemented the learning system using TensorFlow … Alternatively, we use human evaluation metric to quantify chatbot generated text … proposed 3 quality attributes(12), efficiency, effectiveness, and satisfaction, to evaluate quality of chatbots and intelligent conversational …

Multi-Turn Response Selection in Retrieval-Based Chatbots with Iterated Attentive Convolution Matching Network
H Wang, Z Wu, J Chen – Proceedings of the 28th ACM International …, 2019 – dl.acm.org
… KEYWORDS multi-grained representation; matching; retrieval-based chatbot; multi-turn response selection; deep neural network ACM Reference Format: Heyuan Wang, Ziyi Wu, and Junyu Chen. 2019. Multi-Turn Response Se- lection in Retrieval-Based Chatbots with Iterated …

Natural Language Processing for Chatbots
S Raj – Building Chatbots with Python, 2019 – Springer
… spaCy is one of the best libraries available in the open-source community to process text for deep-learning algorithms. It collaborates seamlessly with TensorFlow, PyTorch, scikit-learn, Gensim, and the rest of Python’s related technologies … False. chatbots. chatbot. NOUN. NNS …

A review of Chatbots in education: Practical steps forward
S Cunningham-Nelson, WW Boles, L Trouton… – 2019 – eprints.qut.edu.au
… There are several other books that cover chatbot frameworks and provide in-depth tutorials on … discusses the Microsoft Bot Framework, Wit.ai, Dialogflow, IBM Watson and Tensorflow, a data … framework that can be used in conjunction with other frameworks to create Chatbots …

USE OF WORD EMBEDDING TO GENERATE SIMILAR WORDS AND MISSPELLINGS FOR TRAINING PURPOSE IN CHATBOT DEVELOPMENT
S Thapa – 2019 – rc.library.uta.edu
… to the user. This chatbot was one of the earliest chatbots incorporating natural language … chatbots [4]. Some of the recent popular chatbot frameworks based on machine learning are Microsoft Bot Framework by Microsoft, Dialogflow by Google, IBM Watson by IBM, Amazon …

ARTIFICIAL INTELLIGENCE BASED CHATBOT FOR HUMAN RESOURCE USING DEEP LEARNING A DISSERTATION
SA Sheikh – 2019 – researchgate.net
… human customers or diverse Chatbots that gives through text. The Chatbots which is being proposed for Human Resource is Artificial Intelligence based Chatbot for major measurement profiling of contenders for the explicit task …

Utterance-to-Utterance Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots
JC Gu, ZH Ling, Q Liu – IEEE/ACM Transactions on Audio …, 2019 – ieeexplore.ieee.org
… I. INTRODUCTION BUILDING a chatbot that can converse naturally with hu- mans on open … given the context of a conversation, is the key technique for building retrieval-based chatbots … matching network (U2U- IMN) for multi-turn response selection in retrieval-based chat- bots …

Chatbots with Personality Using Deep Learning
S Gaikwad – 2019 – scholarworks.sjsu.edu
… 26 XI. CONTEXT RETENTION The challenge of our chatbot is to capture the context of the conversation, to make it more … Page 34. CHATBOTS WITH PERSONALITY USING DEEP LEARNING 28 … The model was built using Python tools including TensorFlow, Pandas, NumPy …

Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots
C Liu, K Liu, S He, Z Nie, J Zhao – arXiv preprint arXiv:1910.13106, 2019 – arxiv.org
… On multi-party chatbots, lots of interlocutors talk about one or more topics … Our dataset is constructed based on the Ubuntu multi-party chatbot corpus2, which has been widely used as the evaluation … We implemented all the models with Tensorflow on an NVIDIA TITAN X GPU …

A General Framework of Chatbots
W Yang – 2019 – search.proquest.com
… using Tensorflow … We presented dChat, a general framework for constructing domain-specific chatbots.Experiments and study cases show that dChat can classify domains with highaccuracy and outperforms previous work … (3) Build a chitchat module to engage chatbot users to …

Facebook Messenger chatbots. How businesses can benefit from this opportunity
J SANCHEZ – 2019 – politesi.polimi.it
… (ie, IBM NL, Microsoft Cognitive Service, Tensorflow by Google, etc.). Page 22. 18 … 3.2 Chatbot architecture In general, the standard chatbots architecture is composed of the following elements, as also shown in Figure 14: ? Datasets; ? Chatbot application; ? NLU engine; …

Hands-On Serverless Deep Learning with TensorFlow and AWS Lambda: Training serverless deep learning models using the AWS infrastructure
R Feyzkhanov – 2019 – books.google.com
… Page 2. Hands-On Serverless Deep Learning with TensorFlow and AWS Lambda Training serverless deep learning models using the AWS infrastructure Rustem Feyzkhanov BIRMINGHAM – MUMBAI … Furthermore, we will cover deep learning and the TensorFlow framework …

Learn TensorFlow 2.0
IM Learning, P Singh, A Manure – Springer
Page 1. Learn TensorFlow 2.0 Implement Machine Learning and Deep Learning Models with Python — Pramod Singh Avinash Manure Page 2. Learn TensorFlow 2.0 Implement Machine Learning and Deep Learning Models with Python Pramod Singh Avinash Manure …

Text Summarization for Chatbots
M Lustig – 2019 – support.dce.felk.cvut.cz
… One might even call the conversational agents, chatbots or dialogue systems, a holy grail of NLP as they combine and build … containing the processing logic and response generation and third comes the natural language generating step turning the chatbot’s textual response …

Building an Enterprise Chatbot
A Singh, K Ramasubramanian, S Shivam – Springer
… works at GE, Digital as a Staff Data Scientist and is the author of Pro Deep Learning with TensorFlow – A Mathematical … xxii • Learn how to deploy a complete in-house-built chatbot using an open source technology stack like RASA and Botpress (such chatbots avoid sharing …

Towards A Deep Learning Question-Answering Specialized Chatbot for Objective Structured Clinical Examinations
J El Zini, Y Rizk, M Awad… – 2019 International Joint …, 2019 – ieeexplore.ieee.org
… Towards A Deep Learning Question-Answering Specialized Chatbot for Objective Structured Clinical Exa… paper N-20058.pdf – 5 – Page 6. TABLE II SCRIPTS READABILITY … The algorithms were written in Python 2.7 using the Keras and Tensorflow packages …

Enhanced Matching Network for Multi-turn Response Selection in Retrieval-Based Chatbots
H Deng, X Xie, XJ Zhang – 2019 International Joint Conference …, 2019 – ieeexplore.ieee.org
… Response Selection in Retrieval-Based Chatbots 1st Hui Deng Beijing Institute of Technology School of Information and Electronics Beijing, China denghui@bit.edu.cn … (3) Enhanced Matching Network for Multi-turn Response Selection in Retrieval-Based Chatbots …

TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots
W Ma, Y Cui, N Shao, S He, WN Zhang, T Liu… – arXiv preprint arXiv …, 2019 – arxiv.org
Page 1. TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots Wentao … 4.2 Experiment Setup We implement our model by Keras (Chollet et al., 2015) with TensorFlow backend. In …

Making Chatbots More Conversational: Using Follow-Up Questions for Maximizing the Informational Value in Evaluation Responses
P Hilding – 2019 – diva-portal.org
… techniques to un- derstand and process the context of the text and grasp dialogue flow to resemble human communication [5]. These chatbots are able to … Furthermore, it is likely that the response rate of re- views is increased by using a chatbot instead of a traditional survey or …

ArgueBot: Enabling debates through a hybrid retrieval-generation-based chatbot
I Kulatska – 2019 – essay.utwente.nl
… 2.2 Chatbots 9 Page 15. like the chatbot is. Chatbots can also be evaluated by conducting user tests and using surveys to determine user satisfaction (Higashinaka et al., 2018). 2.3 Conclusion Concluding the literature review …

Intelligent Dialogue System Based on Deep Learning Technology
I Sidenko – pdfs.semanticscholar.org
… Such findings have not slowed down the rapid implementation of chat-bots online, and the … we have compared different neural network architectures and develop chit-chat bot which based … order to achieve this goal we use Python as programming language, TensorFlow as deep …

De-seasoning-Based Time Series Data Forecasting Method Using Recurrent Neural Network (RNN) and Tensor Flow
P Kaushik, P Yadav, S Akhter – Advances in Signal Processing and …, 2019 – Springer
… data has a tendency to add weights to the forecasted data as all the applications which had been designed have many seasons of data be it chat bot of the … 1. https://github.com/tensorflow/tensorflow. 2. Wikibooks … https://www.infoq.com/news/2017/04/microsoft-dataset-chatbots. 13 …

Building Chinese Chat Bot with Controlled Sentence Function
L Shen – 2019 – aifin-hkust.github.io
… Figure 15 is the back-end processing for the chat bot in WeChat. Figure 16 shows the interactions between the chat bot and the tester … 5 Discussions 5.1 Training Limitations The training process is conducted on TensorFlow packages not the GPU version though …

Incrementalizing RASA’s Open-Source Natural Language Understanding Pipeline
A Rafla, C Kennington – arXiv preprint arXiv:1907.05403, 2019 – arxiv.org
… that are marketed as natural language understanding (NLU) solutions for use in chatbots, digital personal … as a standalone NLU component or as a module in a SDS or chatbot … racy as the underlying models differ greatly (ie, SIUM is generative, whereas Tensorflow Embed- ding …

Development of a Virtual Assistant
H Wang, MR Zargham, J Chen, J Cheng – csce.ucmss.com
… The Chatbots are able to generate a response from scratch based on machine learning techniques … It is a model famous for translation, and also many people use it to do Chatbot … In TensorFlow, there are some predefined packages and functions for Seq2Seq model, so that …

Universal Semantic Web Assistant based on Sequence to Sequence Model and Natural Language Understanding
SV Prajwal, G Mamatha, P Ravi… – 2019 9th International …, 2019 – ieeexplore.ieee.org
… NLU sub module uses the Spacy language initializer along with the Tensorflow embedding with … 10.14257/ijunesst.2015.8.2.36 [2] Thomas NT, “An E-business Chatbot using AIML … and Conference (CCWC), 2018 [5] Alvaro Nuez Ezquerra “Implementing ChatBots using Neural …

Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems
M Saffar Mehrjardi – 2019 – era.library.ualberta.ca
… engaged when they feel that they have become friends with the chatbot. Ama … chatbots, and customer-service chatbots. Deployment of task-oriented chat … bot, and better customer experience given the continuous and uninterrupted …

Remote cardiovascular health monitoring system with auto-diagnosis
B Bhattacharya, S Mohapatra… – … on Vision Towards …, 2019 – ieeexplore.ieee.org
… button- This button when pressed, implements a testing of the data over the trained ML algorithm using ‘TensorFlow’ … C. MedX’ Chatbot Chatbots are generally used in dialog systems for various practical purposes and use sophisticated Natural Language Processing (NLP …

Cognitive Computing Recipes
A Masood, A Hashmi – Springer
… Artificial Intelligence Solutions Using Microsoft Cognitive Services and TensorFlow — Adnan Masood Adnan Hashmi … Recipes Artificial Intelligence Solutions Using Microsoft Cognitive Services and TensorFlow Adnan Masood Adnan Hashmi Foreword by Matt Winkler Page 3 …

Learning via AI Dolls: Creating Self-Active Learning for Children
S Nattawuttisit – Neo-Simulation and Gaming Toward Active Learning, 2019 – Springer
… Sannikova S (2018) Chatbot implementation with Microsoft Bot FrameworkGoogle Scholar. 19 … Fok WW, He YS, Yeung HA, Law KY, Cheung KH, Ai YY, Ho P (2018) Prediction model for students’ future development by deep learning and tensorflow artificial intelligence engine …

SMART ROLE OF DEEP LEARNING IN GOOGLE DUPLEX THROUGH ARTIFICIAL INTELLIGENCE
R Vasuki, TC Sujitha – IJRAR-International Journal of Research and …, 2019 – ijrar.org
… g.Chatbots h.Education i.Robotics j. Human resources and recruiting … is a RNN (Intermittent neural system), which was manufactured utilizing TensorFlow Expanded (TFX).TensorFlow is a … techradar.com/news/what-is-google-duplex-the-worlds-most-lifelike-chatbot-explained [15 …

Object Recognition with Machine Learning: Case Study of Demand-Responsive Service
PJ Lin, S Hung, SFS Lam… – 2019 IEEE International …, 2019 – ieeexplore.ieee.org
… Users can train their own models through TensorFlow on workstations or cloud servers to enhance the … A chatbot is an application that simulates human conversation or chat and attempts to … In recent years, chatbots have been seen in social websites, customer service, and even …

Design and Implementation of a Deep-Learning Course to Address AI Industry Needs
B Beggel, J Schmitt – From Research to Application, 2019 – arxiv.org
… arXiv preprint arXiv: 1609.08144 (2016) 4. Abadi, M., et al.: TensorFlow: Large-scale machine learning on heterogeneous systems (2015) Software available from tensorflow. org … Deshpande, A.: How i used deep learning to train a chatbot to talk like me.(2017) 22 …

Deep Natural Language Processing for Search Systems
W Guo, H Gao, J Shi, B Long – … of the 42nd International ACM SIGIR …, 2019 – dl.acm.org
… advanced search systems such as conversational search [16–19] and task oriented chatbots [23 … Natural Language Process- ing in LinkedIn Search System (2) Conversational AI • Chatbot for LinkedIn … He was a contributor to Tensorflow and created verbs interface for Tensorflow …

Detection of Common English Grammar Usage Errors
L Immes, H Levkowitz – International Conference: Beyond Databases …, 2019 – Springer
… Documents are then classified based upon context. Another TensorFlow application, [14], uses chatbots to generate intelligent English text. That application also requires an enormous amount of data, ie, the Movie Dialog Corpus (Cornell University) of 20K conversations …

Optimising user experience with: conversational Interfaces
AMG Costa – 2019 – recipp.ipp.pt
… the intent classifier, where we detail the better performance in the top of the rasa tensorflow … olhar para os chatbots como uma possível solução de automatizar, impulsionar e expandir as … A presente tese visa a apresentar uma implementação prática de um chatbot sobre …

Natural Language Processing, Understanding, and Generation
A Singh, K Ramasubramanian, S Shivam – Building an Enterprise Chatbot, 2019 – Springer
… Some chatbots are heavy on generative responses, and others are built for retrieving information … Since this book is about building an enterprise chatbot, we will focus more on … workflows, which can connect to models trained on popular frameworks like Tensorflow, Keras, Scikit …

Building a Sextbot: botrotica
KW Mathewson – korymathewson.com
… A trained Tensorflow character-level recurrent neural network (RNN) model ran on the … we communicate with scripted, humorous, pseudoembodiments in video games and online chatbots. Perhaps these ‘pretend’ channels are not ‘obscene’ or as chatbot pioneer Weizenbaum …

Classification of user attitudes in Twitter-beginners guide to selected Machine Learning libraries
M Sokolowska, M Mazurek, M Majer, M Podpora – IFAC-PapersOnLine, 2019 – Elsevier
… It can also affect the im- provement of voice assistant systems and web-based chat- bots … Cur- rently, TensorFlow works not only on desktop systems such as Windows, Linux, and macOS but … to be an issue of a significant importance for artificial agents, eg chatbots, because in …

INSIGHTS!-a modern deep learning approach to data analysis using Feature Name Substitution Network
KMY Pravan, U Shanmugam… – … Intelligence in Data …, 2019 – ieeexplore.ieee.org
… Keywords—Insight Relevance Index (IRI), Deep Learning, Tensorflow, Keras, Correlation Analysis, LSTM, Django … Chatbot interaction with the user facilitates in developing the knowledge about the data that has to be analyzed …

QuizBot: A Dialogue-based Adaptive Learning System for Factual Knowledge
S Ruan, L Jiang, J Xu, BJK Tham, Z Qiu, Y Zhu… – Proceedings of the …, 2019 – dl.acm.org
… Figure 3: Heatmaps for different sentence embeddings: (left) Tensorflow’s universal sentence encoding, (middle … efficient per time spent, people spent substantially longer using the chatbot app, and … This suggests future implications for where and for whom chatbots may be useful …

Construction of Deep Convolutional Neural Networks For Medical Image Classification
A Rama, A Kumaravel, C Nalini – International Journal of Computer …, 2019 – igi-global.com
… variousindustries.Itismainlyappliedinsolvingmanyreal-world problemssuchasanalyzingimages, intelligentchatbots,robotics,generating … Sentimentanalysis,Detectionofflaws,Self-drivingcars, Textsummarizationand Mobileimageandvideoprocessing.TensorFlowsoftwarelibrary …

Adaptive Artificial Intelligent Q&A Platform
MS Saad – arXiv preprint arXiv:1902.02162, 2019 – arxiv.org
… QA has mostly been used to develop intricate dialogue systems such as chatbots and other systems that mimic human interaction [4]. Traditionally most of these systems use the tried … For this we use a Tensorflow function … [4] Silvia Quarteroni, “A Chatbot-based Interactive …

Together: AI and Human. On The Same Side.
Z Andrejkovics – 2019 – books.google.com
… These include Watson, Microsoft’s Azure, and Google’s Tensorflow … during the conversation or putting humour into sentences, which can mislead judges • the chatbot returns with a question to a question Since the first Loebner prize, held in 1991, chatbots have adapted a …

Recommendence and Fashionsence: Online Fashion Advisor for Offline Experience
R Chakraborty, K Vats, K Baradia, T Khan… – Proceedings of the …, 2019 – dl.acm.org
… is to replicate the offline experience in the maximum possible way for the online world using a combination of chatbots and machine … (The results refinement with text inputs are not enabled right now on the chatbot.) Figure 3 … tf.losses.mean_pairwise_squared_error | TensorFlow …

ONE-SHOT OF WINE: DEEP LEARNING ARCHITECTURES FOR DIFFERENT SETTINGS OF THE SENTENCE SIMILARITY PROBLEM
T Knowles, T Wu – cs229.stanford.edu
… problem: in setting 1, we can enumerate all possible labels that a sentences may take on (such as the user intentions in a chat-bot) and have … The model in Figure 2 (trained with Keras/Tensorflow [11] [12]) is fairly successful at categorizing individual sen- tences into categories …

English Conversation System Using Artificial Intelligent of based on Virtual Reality
EY Cheon – Journal of the Korea Convergence Society, 2019 – koreascience.or.kr
… (2017). Interactive AI, the evolution of the chatbot. [Online] http://blogview.hyundaicardcapital. com/4010; O. Mangkang & JY Yun. (2019) … [Online]. https://cloud.google.com/products/?hl=ko; M. Abadi et al. (2016). Tensorflow: A system for large-scale machine learning …

Static-Dynamically Attentive Variational Network for Dialogue Generation
J Chang, R He, L Wang, R Wang, X Zhao, T Yang – ajiips.com.au
… of large conversation corpora on the Internet recently, building a data-driven chatbot has become a … based methods [15,16] and generation-based methods [2–4] for open domain chatbots … in Table 1. Implementation Our model is implemented based on Tensorflow and trained …

Effective Use of the Machine Learning Approaches on Different Clouds
Y Kumar, S Kaul, K Sood – Available at SSRN 3355203, 2019 – papers.ssrn.com
… A session of question answers from users and chatbots can also take place and for the user it … The main intention of using these chatbot as humans is to make users feel its … There are numerous open source frameworks for machine learning like CNTK, TensorFlow, MXNet etc …

Building context-related dialogue systems based on Chinese-Script-Dialogue Corpus
P Ma, C Li – 2019 Chinese Control Conference (CCC), 2019 – ieeexplore.ieee.org
… For the purpose of building more anthropomorphic chatbots, re- searchers have been collecting various of dialogue … the human-robot conver- sation usually happens between one human and one chatbot, such as … 1https://github.com/tensorflow/tensor2tensor 2https://www.nltk.org …

Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications
P Yu, M Chowdhury – arXiv preprint arXiv:1902.04610, 2019 – arxiv.org
… Our integration of Salus with TensorFlow and evaluation on popular DL jobs show that Salus can improve the average completion … in re- cent years across many data-driven application domains, ranging from machine translation and image captioning to chat bots and personal …

International Journal of Scientific Research and Reviews
R Mythreagi, N Yuvaraj – pdfs.semanticscholar.org
… various platforms. 2.2 Keras:Keras is a high-level library that’s built on top of Theano or TensorFlow. It provides a … Natural Language Understanding (NLU) is a newer field of interest now which has a huge impact on Chatbots, and humanly understandable robots. Page 9 …

A Hybrid Agent System to Detect Stress Using Emotions and Social Media Data to Provide Coping Methodologies
R Maddumage, S Kitchilan… – … , SLAAI-ICAI 2018 …, 2019 – books.google.com
… these inputs when the system identifies the student is stressed then the Chat Bot module is … The chat modules data layer is where the Chatbot holds general con- versations that can … The Tensorflow tflearn model has given the highest accuracy and for polarity classification the …

A repository of conversational datasets
M Henderson, P Budzianowski, I Casanueva… – arXiv preprint arXiv …, 2019 – arxiv.org
… 2015. TensorFlow: Large-scale ma- chine learning on heterogeneous systems. Software available from tensorflow.org … Ahmed Fadhil and Gianluca Schiavo. 2019. Designing for health chatbots. CoRR, abs/1902.09022. Jamie Fraser, Ioannis Papaioannou, and Oliver Lemon …

Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning
M Barz, D Sonntag – arXiv preprint arXiv:1908.10149, 2019 – arxiv.org
… EVORUS learns to select answers from multiple chatbots via crowdsourcing [11]. The result is a chatbot ensemble excels the performance of each individual chatbot … framework [4] which offers two standard pipelines for text classification: spacy sklearn and tensorflow embedding …

Learning on Apache Spark and Analytics Zoo
AIRUD Deep – 2019 – dellemc.com
… Deep learning model development by using TensorFlow or Keras • Distributed TensorFlow, Keras, and BigDL training/inference on Spark … Reference use cases (for example, anomaly detection, sentiment analysis, fraud detection, image similarity, chatbot, and so on) …

Conditioning LSTM Decoder and Bi-directional Attention Based Question Answering System
H Liu – arXiv preprint arXiv:1905.02019, 2019 – arxiv.org
… Among these applications, question answering, which is used in chatbots and dialogue agents, has attracted many attentions … EM = ExactMatchCount TotalCount 4.3 Training Details The code is implemented using Tensorflow v1.4 [6] framework, and written in python …

Machine Learning Architecture and Design Patterns
H Washizaki, H Uchida, F Khomh, YG Guéhéneuc – washi.cs.waseda.ac.jp
… Database (Previous Q&A Store) DB Server (None) Data Lake (Vectorized Corpus) Word Vector TensorFlow (Text) Users Data Source Input Output Datasets ML Input ML Output Architectural Elements (Example Role as Chatbot) What How Business Logic Data Flow …

AI gets real at Singapore’s Changi Airport (Part 1)
S Lee, S Miller – 2019 – ink.library.smu.edu.sg
… Using Google’s open source machine learning software, TensorFlow, and open source object libraries, we could easily train our software application to recognise luggage … In other words, the chatbot project involves a whole lot more than just chatbots …

Prediction of Sepsis Using LSTM Neural Network With Hyperparameter Optimization With a Genetic Algorithm
P Nejedly, F Plesinger, I Viscor… – 2019 Computing in …, 2019 – ieeexplore.ieee.org
… “Basics of TensorFlow BT – deep learning with applications using Python: chatbots and face, object, and speech recognition with TensorFlow and Keras.” edited by Navin Kumar Manaswi, 1–30. Berkeley, CA: Apress, 2018. https://doi.org/10.1007/978-1-4842-3516-4_1 …

Collaborative Creation and Training of Social Bots in Learning Communities
AT Neumann, P de Lange… – 2019 IEEE 5th …, 2019 – ieeexplore.ieee.org
… make use of open source variants utilizing deep learning technologies such as TensorFlow [34] to … A. Nguyen, J. Pineau, and Y. Bengio, “A deep reinforcement learning chatbot,” CoRR, vol … and O. D?az, “A quality analysis of facebook messenger’s most popular chatbots,” in SAC …

PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules
Y Jang, J Lee, J Park, KH Lee, P Lison… – Proceedings of the 2019 …, 2019 – aclweb.org
… ular programming languages for deep learning li- braries is Python, eg Tensorflow (Abadi et al … value> 7 8 9 10 chatbot.generate</function … Listing 1: A simple example domain XML specifica- tion for an RNN-based chat-bot …

Assessing the Reviving Risks while using the Manufacturing Resource Planning system at agribusiness enterprises
O Ponochovna, V Piliavskyi, P Makarenko – 2019 – dspace.pdaa.edu.ua
… Such findings have not slowed down the rapid im-plementation of chat-bots online, and … studies we have compared different neural network architectures and develop chit-chat bot which based … to achieve this goal we use Python as programming language, TensorFlow as deep …

Update tutorial: Big Data analytics: Concepts, technology, and applications
HJ Watson – Communications of the Association for Information …, 2019 – academia.edu
… In this example, the chatbot reduces “customer friction” by making it easier to do … In integrating chatbots into their messaging systems, companies believe that people will prefer the … from cloud-based Amazon SageMaker, Microsoft Computer Toolkit, and Google TensorFlow to the …

End-to-end open-domain question answering with bertserini
W Yang, Y Xie, A Lin, X Li, L Tan, K Xiong, M Li… – arXiv preprint arXiv …, 2019 – arxiv.org
… We have deployed BERTserini as a chatbot that users can interact with on diverse platforms, including laptops and mobile phones … Our BERT reader is based on Google’s refer- ence implementation2 (TensorFlow 1.12.0). For training, we begin with the BERT-Base model (un …

An Approach to Deep Learning Service Provision with Elastic Remote Interfaces
M Sun, Z Yang, H Wu, Q Liu, X Liu – International Conference on Artificial …, 2019 – Springer
… be used to analyze human emotions, and the Recognition API verifies speaker recognition [10], Google’s Dialogflow chat bot can be … Unlike TensorFlow’s static computational graph, PyTorch’s computational graph is dynamic and can be changed at any time according … Chatbot …

Do Humans STILL Have a Monopoly on Creativity or Is Creativity Overrated?
G Cowart, D Williamson, N Farhat, JS Lee – International Conference on …, 2019 – Springer
… Veselov and colleagues, managed to pass TT by convincing the judges that it was a human [1]. How the chatbot managed to … For example, IBM Watson Beat (https://www.ibm.com/case-studies/ ibm-watson-beat) and Google Magenta (https://magenta.tensorflow.org/) platforms …

Law Libraries Embracing AI
V Craigle – Law Librarianship in the Age of AI,(Ellyssa Valenti, Ed.), 2019 – papers.ssrn.com
… To better serve a new generation of tech-savvy patrons, libraries have turned to chatbots and virtual assistants to … TensorFlow – an open source, deep-learning software solution developed by … safe option. The chatbot offers a secure environment, tailored to the specific needs …

Enabling IoT in Education 4.0 with BioSensors from Wearables and Artificial Intelligence
MI Ciolacu, L Binder, H Popp – 2019 IEEE 25th International …, 2019 – ieeexplore.ieee.org
… The chatbot for mathematics answers the questions with voice output or in writing feedback. In addition to Ciolacu et al … For experiments we used Python 3.7, and following packages: nltk, sklearn, owlready2, gensim, ibm_watson, tensorflow, keras …

BayMax: A Smart Healthcare System Provide Services to Millennials Using Machine Learning Technique
G Nalinipriya, P Priyadarshini, SP Shree… – … on Smart Structures …, 2019 – ieeexplore.ieee.org
… The paper will put forward the use of a Personal assistance chatbot to handle the messages from users and collectively … Google Personal Assistance, Facebook Messenger, Apple’s Siri, Hike Natasha, Amazon’s Alexa are some of the existing chatbots available … Tensorflow 90.45 …

Neural Response Generation with Meta-Words
C Xu, W Wu, C Tao, H Hu, M Schuerman… – arXiv preprint arXiv …, 2019 – arxiv.org
… Recently, building a chatbot for open domain conversation (Vinyals and Le, 2015) has attracted increasing attention, not only owing to the … A common approach to implementing a chat- bot is to learn a response generation model within an encoder-decoder framework (Vinyals …

Artificial Intelligence in Insurance Sector
N Kumar, JD Srivastava, H Bisht – Journal of the Gujarat …, 2019 – gujaratresearchsociety.in
… Cognitive Automation Incubator (ACAI) experiments with AI, ML, robotic process, chatbots, and NLP … USAA with Google TensorFlow developed ML models and with Google Advance Solutions Lab built … Zurich(UK) Zurich has partnered with SPIXII to launch a chatbot called ?Zara …

Spjallmennis ráðgjafi-Íba
D Haberbusch, HR Steinarsdóttir, LOR Franca – 2019 – skemman.is
… In this chapter, examples of already existing banking chatbots will be examined. The aim is to get ideas on design, technical standards and limitations of the technology as of today. In general, what will set apart the chatbot to be developed from already existing chatbot solutions …

SSN_NLP at SemEval-2019 Task 3: Contextual Emotion Identification from Textual Conversation using Seq2Seq Deep Neural Network
D Thenmozhi, A Chandrabose… – Proceedings of the 13th …, 2019 – aclweb.org
… This helps conversational agents, chat bots and messengers to avoid emotional cues and mis- communications by detecting the emotions during conversation … The models were trained for 30000 steps with drop out 1https://github.com/tensorflow/nmt …

Envisioning AI for K-12: What Should Every Child Know about AI?
D Touretzky, C Gardner-McCune, F Martin… – Proceedings of the AAAI …, 2019 – aaai.org
… In grades 9-12 students should be able to train a network using an interactive tool like Tensorflow Playground, and advanced students should be … In grades 3-5 students should be able to distinguish a chatbot from a human, and analyze natural language examples to determine …

Teaching the Art of Computer Programming at a Distance by Generating Dialogues using Deep Neural Networks
X Wang – wcol2019.ie
… An Interactive Visual Programming Environment [ICSE’19] • Structured Arguments [JSS’15] • Chatbots [EPSRC Johnny project] • Future work … pp. 758-761. https://github.com/bdqnghi/ggnn. tensorflow • Y Yu. “fAST: flattening abstract syntax trees for efficiency”, In ICSE’19, pp …

Practical Development of Creative Life-Saving Artificial Intelligence
E Bryndin – Communications, 2019 – academia.edu
… Virtual interlocutors (chatbota, Chatbots) – the programs communicating with the person in a natural language … There are only a few popular neural libraries, the main players of this market – TensorFlow (Google), PyTorch (Facebook), Keras (open-source), etc …

Convolutional neural encoder for the 7th dialogue system technology challenge
M Korpusik, J Glass – Proceedings of 2019 AAAI 7th Dialogue …, 2019 – workshop.colips.org
… with a rectified linear unit (ReLU) activation. Dur- 4http://www.wildml.com/2016/07/ deep-learning-for-chatbots- 2-retrieval-based-model-tensorflow/ 5https://spacy.io Page 4. Figure 3: The CNN architecture for predicting whether …

Sumarizace textu pro chatboty
L Matyáš – 2019 – dspace.cvut.cz
… One might even call the conversational agents, chatbots or dialogue systems, a holy grail of NLP as they combine and build … containing the processing logic and response generation and third comes the natural language generating step turning the chatbot’s textual response …

Collaboration Robots with Artificial Intelligence (AI) as Digital Doubles of Person for Communication in Public Life and Space
E Bryndin – Budapest International Research in Exact Sciences …, 2019 – academia.edu
… Virtual interlocutors (chatbota, Chatbots) – the programs communicating with the person in a natural language … It is an add-on above the Deeplearning4j, TensorFlow and Theano frames … to be expected, as Facebook and other social networks successfully use chat bots to process …

Personalizing dialogue agents via meta-learning
A Madotto, Z Lin, CS Wu, P Fung – … of the 57th Annual Meeting of the …, 2019 – aclweb.org
… is a growing interest in learning personal- ized chit-chat dialogue agents for making chat- bots more consistent … tives, which can be computed by any automatic differentiation library (eg PyTorch, Tensorflow etc.) … Learning from dialogue after deployment: Feed yourself, chatbot …

HDGS: A Hybrid Dialogue Generation System using Adversarial Learning
H Yu, A Li, R Jiang, Y Jia, X Zhao… – 2019 IEEE Fourth …, 2019 – ieeexplore.ieee.org
… Open- domain chat-bots are usually implemented either by generative methods or retrieval methods … Our model adopt Adam method for stochastic optimization [22] with the default Tensorflow exponential decay rates of 99 .0 1 = ? and 99 .0 2 = ? …

Performance Comparison of Carotid Artery Intima Media Thickness Classification by Deep Learning Methods
S Sava?, N Topalo?lu, Ö Kazc?, PN Ko?ar – academia.edu
… these algorithms have begun to show themselves in many applications such as driverless vehicles, health services, film suggestions, translation services, chatbot, page suggestions, and … Starting to use deep learning platforms and libraries like Keras, Tensorflow, Theano, Caffe …

Text Classification using Different Feature Extraction Approaches
R Dzisevi?, D Šešok – 2019 Open Conference of Electrical …, 2019 – ieeexplore.ieee.org
… analysis, search engines [2] and even customer interactions using virtual agents – chatbots [14] … The neural network classifier was implemented by using keras and tensorflow libraries … 14] AM Rahman, A. Al Mamun and A. Islam, “Programming challenges of chatbot: Current and …

Strategy for adopting 5G in Enterprise–Chintan Oza
C Oza – CYBERNOMICS, 2019 – cybernomics.in
… Chatbots would be widely used for various automations ie (a) fill orders over the phone or via mobile apps (b) Act … technologies such as; LTE, 5G fundamentals, SON, C-RAN, Heterogeneous Network, Cloud Computing, Raspberry Pi, Node.js, Python, Tensorflow, Mobile Edge …

Deep Reinforcement Learning
M Sewak – 2019 – Springer
… Mohit has over 14 years of very rich experience in researching, architecting and solutioning with technologies like TensorFlow, Torch, Caffe … may mean a lot of things encompassing systems ranging from conventional analytics, to more contemporary deep learning and chatbots …

Prior Activation Distribution (PAD): A Versatile Representation to Utilize DNN Hidden Units
L Meegahapola, V Subramaniam, L Kaplan… – arXiv preprint arXiv …, 2019 – arxiv.org
… indispensable mechanism for imple- menting machine intelligence for a variety of tasks, such as medical image analysis [28], chatbots for conversational … All the experiments were implemented and evaluated using Python [46] with Keras library [6] with a Tensorflow [10] backend …

Distributed Deep Learning for Broadly Deployed Health Care
BC Ooi, G Chen, Q Lin, KY Ngiam, S Wang, W Wang… – pdfs.semanticscholar.org
… Abstract—While chatbots and self-driving cars may be the most prominent exemplars of deep learning systems deployed in society, personalized health care is perhaps the application that promises the greatest benefits in the foreseeable … 1: Distributed training for Tensorflow …

Personalizing dialogue agents via meta-learning
Z Lin, A Madotto, CS Wu, P Fung – arXiv preprint arXiv:1905.10033, 2019 – arxiv.org
… is a growing interest in learning personal- ized chit-chat dialogue agents for making chat- bots more consistent … tives, which can be computed by any automatic differentiation library (eg PyTorch, Tensorflow etc.) … Learning from dialogue after deployment: Feed yourself, chatbot …

Domain Adaptive Training BERT for Response Selection
T Whang, D Lee, C Lee, K Yang, D Oh… – arXiv preprint arXiv …, 2019 – arxiv.org
… 2018. Multi-turn response selection for chatbots with deep attention matching network … Association for Computa- tional Linguistics. Page 7. Appendix A Implementation Details The models are implemented using the Tensorflow library (Abadi et al., 2016) …

BotFlowMon: Learning-Based, Content-Agnostic Identification of Social Bot Traffic Flows
Y Feng, J Li, L Jiao, X Wu – 2019 IEEE Conference on …, 2019 – ieeexplore.ieee.org
… To construct the model, we use Keras [29] with TensorFlow [30] to perform the training and classification … B. Social Bots Simulation 1) Chatbot: Chatbots are very active in messaging applica- tions such as Twitter Direct Messages, Facebook Messenger, or WeChat …

Implementation of AI
T Taulli – Artificial Intelligence Basics, 2019 – Springer
… Chatbots can be another way to start out with AI … For example, if you are developing a custom chatbot for customer service, you might want to measure against metrics like the resolution … There should also be a focus on understanding how to use AI platforms, such as TensorFlow …

eScience 2050: A Look Back
D Gannon – researchgate.net
… Tensorflow Probability, https://medium.com/tensorflow/an-introduction-to-probabilistic- programming-now-available-in-tensorflow- probability-6dcc003ca29e … Programming to Scientific Simulators at Scale”, arXiv:1907.03382v1 [14] D. Gannon, “Building a ‘ChatBot’ for Scientific …

IVAA: Intelligent Vehicle Accident Analysis System
K Thonglek, N Urailertprasert… – … Joint Conference on …, 2019 – ieeexplore.ieee.org
… IVAA IBM Watson Car Damage Detective Classification Yes Yes Yes Localization Yes No No Deep learning library Tensorflow IBM Watson … tool for insurance experts, deep learning APIs for data scientists, web monitoring application for operators, and LINE chatbot to interact …

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition
L Simeonova, K Simov, P Osenova, P Nakov – arXiv preprint arXiv …, 2019 – arxiv.org
… Language Processing (NLP) tasks such as Ques- tion Answering, Information Extraction, Machine Translation, Dialog Systems, and chatbots, where it is … LSTM-CRF Implementation For the imple- mentation of the general LSTM-CRF architecture, we use Tensorflow (Sak et al …

Training neural response selection for task-oriented dialogue systems
M Henderson, I Vuli?, D Gerz, I Casanueva… – arXiv preprint arXiv …, 2019 – arxiv.org
… Response selection also differs from chatbot-style systems which generate new re- sponses by generalising over training data, their main deficiency being … 11https://www.tensorflow.org/hub 12Note that the encoder architectures similar to the ones used by USE can also be used …

Improving neural question generation using answer separation
Y Kim, H Lee, J Shin, K Jung – Proceedings of the AAAI Conference on …, 2019 – aaai.org
… 2017; Tang et al. 2017; 2018) or to engage chatbots to start and continue a conversation (Mostafazadeh et al. 2016) … 2014) and then lower-case them. Implementation Details We implement our models in Tensorflow 1.4 and train the model with a single GTX 1080 Ti …

Machine learning system architectural pattern for improving operational stability
H Yokoyama – 2019 IEEE International Conference on Software …, 2019 – ieeexplore.ieee.org
… NN Model Python / TensorFlow[1] CI/CD / VCS TravisCI / Git / DVC[17] Monitoring & Alert Distributed Monitoring Zabbix[16] / Prometheus[2] JSON Query (Question Statement / ID) Key (Question ID) Value (Answer Statement) Re a l W o rld Users (of chatbot) …

A Personal Conversation Assistant Based on Seq2seq with Word2vec Cognitive Map
M Shen – ?????????. ????????, 2019 – hosei.repo.nii.ac.jp
… This paper will describe how this data is collected, how to develop a personalized chatbot using personal conversation records … D. One-hot Embedded Seq2seq One-hot Embedded Seq2seq is a common implementation by Tensorflow …

Better automatic evaluation of open-domain dialogue systems with contextualized embeddings
S Ghazarian, JTZ Wei, A Galstyan, N Peng – arXiv preprint arXiv …, 2019 – arxiv.org
… Recent advances in open-domain dialogue sys- tems (ie chatbots) highlight the difficulties in automatically evaluating them … alog dataset composed of 22,000/1,800/2,100 train/test/validation pairs to train and tune the unreferenced model, which is implemented with Tensorflow …

Improving neural conversational models with entropy-based data filtering
R Csaky, P Purgai, G Recski – arXiv preprint arXiv:1905.05471, 2019 – arxiv.org
… training on datasets filtered in this way re- sults in better conversational quality as chat- bots learn to … As mentioned in Section 2, automatic evaluation of chatbots is an open research problem … at the validation loss minimum of a model, however in the case of chatbot models loss …

SafeChat System with Natural Language Processing and Deep Neural Networks
M Seedall, K MacFarlane, V Holmes – 2019 – sure.sunderland.ac.uk
… are analysis of (free) text, knowledge and abstract concept extraction from textual data (eg text understanding), generative models (eg chat bots, virtual assistants … Some popular frameworks being used in NLP solutions are; Torch [8], SpaCy [9], TensorFlow [10], and Caffe2 [11] …

Smart Fleet Management System Using IoT, Computer Vision, Cloud Computing and Machine Learning Technologies
TT Unit-R&D – 2019 – wwww.easychair.org
… safety/behavior (IoT, Machine Leering, Computer Vision, ChatBot & Cloud) Solution: Technologies IoT, Machine Learning, Computer Vision, chatbot and cloud … OpenFace algorithm with dlib in contrast to earlier approaches of using TensorFlow Inceptionv3 model and IBM-VR …

Dialogue generation: From imitation learning to inverse reinforcement learning
Z Li, J Kiseleva, M de Rijke – Proceedings of the AAAI Conference on …, 2019 – aaai.org
… broad di- rections for training a dialogue generation system: the first employs defined rules or templates to construct possible re- sponses and the second builds a chatbot to learn … 1https://www.tensorflow.org/ 2For more details, see https://github.com/julianser/ hed-dlg-truncated …

Generating Responses with a Specific Emotion in Dialog
Z Song, X Zheng, L Liu, M Xu, XJ Huang – … of the 57th Annual Meeting of …, 2019 – aclweb.org
… This framework was also applied to build a chatbot, designed to sim- ulate how a human … In earlier at- tempts to develop chatbots by the seq2seq frame- work, many efforts have … We implemented our EmoDS in Tensorflow5. Specifically, we used one layer of bidirectional LSTM …

Improving Low Resource Turkish Speech Recognition with Data Augmentation and TTS
R Gokay, H Yalcin – … Multi-Conference on Systems, Signals & …, 2019 – ieeexplore.ieee.org
… These systems are used for information services, chat-bots, dialog systems or smart assistants sizably … In this part of study, an open source TensorFlow implementation [10] was used. DCTTS system includes Fig. 2. Speech Synthesis Approach …

Research of Neural Network Methods of Text Information Classification
VL Litvinov – 2019 III International Conference on Control in … – ieeexplore.ieee.org
… These networks are the basis of modern translation systems and chatbots … The neural network was implemented using Keras, an open neural network library written in Python. It is an add-on for the DeepLearning, TensorFlow, and Theano frameworks …

ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation
H Zhang, Y Lan, L Pang, J Guo, X Cheng – arXiv preprint arXiv …, 2019 – arxiv.org
… alogue generation has gain increasing attention. One reason is that it is more accordant with the real application scenario, such as chatbot and cus- tomer services … We run all the models on a Tesla K80 GPU card with Tensorflow3. 4.1.3 Evaluation Measures …

Smart virtual assistant bot using voice control and object detection
BR Abhishek, S Balamurugan, R Anitha – 2019 – pdfs.semanticscholar.org
… electronic gadgets in the room. Unlike chatbots, virtual assistants mature gradually with use. Once … individual. Raj Kumar Mistri focusses on Raspberry Pi board utilizing OpenCV and TensorFlow packages to perform actions …

Ethics of Artificial Intelligence Recruitment Systems at the United States Secret Service
JH Ong – 2019 – jscholarship.library.jhu.edu
… https://www.businessinsider.com/microsoft-deletes-racist-genocidal-tweets- from-ai-chatbot-tay- 2016-3 … https://www.tensorflow.org/tutorials/representation/word2vec … Hiring is in the midst of a technological revolution with algorithms, chatbots.” Chicago Tribune, July 19, 2018 …

End-to-end video captioning with multitask reinforcement learning
L Li, B Gong – 2019 IEEE Winter Conference on Applications of …, 2019 – ieeexplore.ieee.org
… automatically generated video captions may enable fast video retrieval, assist the visually impaired, and engage users in a versatile chatbot, to name … We implement our algorithm with Tensorflow [1]. In our end-to-end trained model, we keep the layers of Inception-Resnet-v2 [37 …

Convolutional and Long Short-term Memory Neural Network for Earthquake Detection
X Xu, Y Wang, L Zou, Y Liu – wcse.org
… control robotics, image analysis, document summarization, speech recognition image recognition, handwriting recognition, control of chat bots, predictive disease … of the original fixed window and the corresponding label into the .tfrecords file format corresponding to tensorflow …

Automatically responding to customers
R Huijzer – pure.tue.nl
… The IBM sales department claims that Autodesk using chatbots cut down their resolution time “from 1.5 days to 5.4 minutes for most inquiries” [46] … Consensus is not clear on whether a chatbot is synonymous to conversational agent …

WARNING SIGNS
S Stalla-Bourdillon, B Leong, P Hall, A Burt – 2019 – fpf.org
… Tay chatbot was another illustration of the ability for live data (in this case, conversations with the chatbot conducted through … for example, the private aggregation of teacher ensembles (PATE) models and differential privacy methods in the Google tensorflow repository, available …

The Gutenberg Dialog Dataset for Neural Conversational Modeling
RK Csáky, G Recski – ricsinaruto.github.io
… dialog agent (chatbot) is a software that communicates with humans through natural language, by processing the users’ utterances and outputting relev- ant and interesting responses. While in the past simple rule-based models were popular for building chatbots, currently deep …

Threat is in the Air: Machine Learning for Wireless Network Applications
L Pajola, L Pasa, M Conti – Proceedings of the ACM Workshop on …, 2019 – dl.acm.org
… many frameworks developed for Python for exam- ple (eg, Scikit-Learn [43], Keras [12], Tensorflow [1]) and … real world where malicious data were used; a famous example is Tay, a Microsoft chat bot lunched on … The aim of the chatbot was to answer to questions made by users …

Information and Software Technologies: 25th International Conference, ICIST 2019, Vilnius, Lithuania, October 10–12, 2019, Proceedings
R Damaševi?ius, G Vasiljevien? – 2019 – books.google.com
… Marcin Lawnik, Joanna Krakowczyk, and Arkadiusz Banasik Use of Chatbots in Project Management … 498 Mark Pijnenburg and Wojtek Kowalczyk Prediction of Poker Moves Using Sequential Model and TensorFlow …

ET-USB: Transformer-Based Sequential Behavior Modeling for Inbound Customer Service
TC Su, GY Chen – arXiv preprint arXiv:1912.10852, 2019 – arxiv.org
… Thus, many companies invest significant re- sources to provide high quality customer service based on telephone, internet or even chatbot nowadays … 4.1 Setup We implement the models using TensorFlow in our experi- ments …

The application of artificial intelligence and machine learning in e-commerce, its adoption requirements and areas of improvement
D Voracek – elearning.unyp.cz
… Some of the main topics concern prediction analytics, digital marketing and chatbots. Following the main findings from the above analysis this paper explores necessary AI … 42 7.9.3 Machine Learning application in chatbots …

Study on Use of AI and Big Data for Commercial System
S Vyas, SS Jain, I Choudhary… – … Conference on Artificial …, 2019 – ieeexplore.ieee.org
… They at this point swung towards profound learning with Google’s Page 2. 738 TensorFlow platform … [3] https://www.adweek.com/digital/coca-cola-is-embracing-ai- and-chatbots-in- preparation-for-a-digital-first-future [4] https://www.bernardmarr.com/default.asp?contentID=1280 …

Contextual speech recognition with difficult negative training examples
U Alon, G Pundak, TN Sainath – ICASSP 2019-2019 IEEE …, 2019 – ieeexplore.ieee.org
… In total, the model has about 58 million trainable parameters and is implemented using TensorFlow [19] and Lingvo [20] … Contacts and Talk-To as “contextualized test sets”, as these contain context relevant for recognition (eg, contact names, songs names and chatbot names) …

Fast Compression and Optimization of Deep Learning Models for Natural Language Processing
M Pietron, M Karwatowski… – … on Computing and …, 2019 – ieeexplore.ieee.org
… CNN) play a major role in a lot of natural language domains like text document categorization, part of speech tagging, chatbots, language modeling or … In a first case it is known as a asymmetric integer quantization (eg used in TensorFlow framework), in the second it is called …

AI Business Models
F Corea – An Introduction to Data, 2019 – Springer
… you can build with TensorFlow, another company that wants to take over Google should publicly prove to provide at least what TensorFlow allows … Virtual agents and chatbots cover the low-cost side of the group, while physical world systems (eg, self-driving cars, sensors, etc …

A Variation on the Theme: SQuAD
G Fiore – pdfs.semanticscholar.org
… With a vocal agent like Siri or Alexa, or a written chatbot, returning a single, correct or relevant answer is more important than in traditional search where the user has the ability to easily evaluate the results … Tensorflow Implementation of R-Net …

Recurrent Neural Network for Content Based Image Retrieval Using Image Captioning Model
S Sindu, R Kousalya – … Conference On Computational Vision and Bio …, 2019 – Springer
… Structure of recurrent neural network. Some of the applications based on the input type are Text recognition, Sentiment classification, chatbots, image captioning and so on. Image captioning are used in content based image retrieval … It is implemented using tensorflow and keras …

Voice and image recognition for smart pet app
YL Lee – 2019 – eprints.utar.edu.my
… used to be the machine learning model to let the Smart Pet can communicate with its owner. tf-seq2seq is a general-purpose encoder-decoder framework for TensorFlow that suitable for Conversational Modelling … 17 Figure 2.1.8 Mitsuku Chatbot flash version 18 …

Softmax Optimizations for Intel Xeon Processor-based Platforms
J Czaja, M Gallus, T Patejko, J Tang – arXiv preprint arXiv:1904.12380, 2019 – arxiv.org
… We believe that the optimization process presented here could be transfered to other deep learning frameworks such as TensorFlow* or PyTorch*. 1 Introduction … Multi-turn response selection for chatbots with deep attention matching network …

Softmax* OptimizationsforIntel® Xeon® Processor-based Platforms
J Czaja – simplecore.intel.com
… By presenting this methodol- ogy, we hope to increase an interest in deep learning optimizations for CPUs. We be- lieve that the optimization process presented here could be transfered to other deep learning frameworks such as TensorFlow* or PyTorch*. 0.1 Introduction …

Nurses with TMI
HAI Helps – perigen.com
… Chatbots for assessments Page 20. To learn more, visit PeriGen.com • Artificial neural networks are mathematical processes • Resemblance to biological neural pathways in the brain Neural Networks Page 21. To learn more, visit PeriGen.com https://playground.tensorflow.org …

Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling
VL Shiv, C Quirk, A Suri, X Gao, K Shahid… – Proceedings of the 57th …, 2019 – aclweb.org
… We provide a set of trained personality embed- dings for implementing diverse personality chat- bots … Tensor2Tensor (Vaswani et al., 2018), maintained by Google Brain, extends TensorFlow with an array of state-of-the-art baseline deep learning models …

Machine learning regression approach to the nanophotonic waveguide analyses
S Chugh, S Ghosh, A Gulistan… – Journal of Lightwave …, 2019 – osapublishing.org
… is being extensively used in many aspects of modern society: web searches, social networking, smartphones, bioinformatics, robotics, chat- bots, and self … for building and training neural networks includes SciPy [19], Scikit-learn [20], Caffe [21], Keras [22], TensorFlow [23] and …

New Technologies
A Firth – Practical Web Inclusion and Accessibility, 2019 – Springer
… prompts and actions you’ve set up for your telephony software in a chatbot, or an … The 2018 “State of Chatbots” report listed those benefits as 24-hour service (64%), instant responses … top of that, they’ve recently added a new machine learning program called TensorFlow that has …

Engineering Reliable Deep Learning Systems
P Santhanam, E Farchi, V Pankratius – arXiv preprint arXiv:1910.12582, 2019 – arxiv.org
… consider the examples where mistakes can have a more severe social consequence: In 2016, Microsoft launched an experimental AI chat bot, called Tay … In practice, various programming frameworks (eg TensorFlow, PyTorch, Scikit-Learn, etc.) are used to create the model code …

Managing Bias in AI
D Roselli, J Matthews, N Talagala – … of The 2019 World Wide Web …, 2019 – dl.acm.org
… “TFX: A TensorFlow-Based Production-Scale Machine Learning Platform”. Proceedings of the 23rd ACM SIGKDD International Confer- ence on Knowledge Discovery and Data Mining, Halifax, Nova Scotia, Canada. [12] Vincent, J. (2016). “Twitter taught Microsoft’s AI chatbot to …

LYRA: an Interactive and Interactive Storyteller
DH Choi – … on Computational Science and Engineering (CSE) …, 2019 – ieeexplore.ieee.org
… such as transportation information systems [8], customer services, and entertainment chatbots like Apple’s … I utilized the open source implementation of the model with Tensorflow called DeepQA … The DeepQA implementation was either a simple chatbot in console or a webpage …

WAAC: An End-to-End Web API Automatic Calls Approach for Goal-Oriented Intelligent Services
Y Li, S Liu, T Jin, H Gao – International Journal of Software …, 2019 – World Scientific
… We implement the WAAC approach with a modi?ed version of TensorFlow’s [22] o?cial neural … based chatbot technologies and challenges of programming in current and future eras of chatbot … researchers [29] have indicated that it is necessary to develop chatbots that meet …

Artificial neural networks for irrigation management: a case study from southern Alabama, USA
A Jimenez, BV Ortiz, L Bondesan… – Precision …, 2019 – wageningenacademic.com
… International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 6 (02) 107-116. Kumar, N., 2018. Deep learning with applications using python. Chatbots and face, object, and speech recognition with TensorFlow and Keras. Berkeley, CA, USA: Apress …

Deep Learning Methods for Selecting Appropriate Cosmetic Products for Various Skin Types: A Survey
S Solanki, G Jain – networks, 2019 – academia.edu
… Deep Learning has provided many researches in fields such as computer vision, natural language processing, machine translation, chat bots and many … possess high flexibility, especially with the advent of many popular deep learning frameworks such as TensorFlow a, Keras b …

Question generation based on chat?response conversion
SH Zhong, J Peng, P Liu – Concurrency and Computation: Practice … – Wiley Online Library
… However, the responses proposed by the chat?bot are only a passive answer or assentation, which … We convert the normal output from chat bots into a question sentence that can change … Translation with Keras 4 4 https://github.com/lvapeab/nmt-keras (Theano and Tensorflow) …

Topic-enhanced emotional conversation generation with attention mechanism
Y Peng, Y Fang, Z Xie, G Zhou – Knowledge-Based Systems, 2019 – Elsevier
… responses. Although these studies can generate meaningful and good-quality responses, a chat bot still cannot naturally communicate with users due to a lack of emotional intelligence. 2.2. Emotional dialogue generation. To …

Multilayer Perceptron and Long Short-Term Memory for Predicting Indonesian Composite Stock Price Index Using Macroeconomic Factors
MNY Pratama – 2019 Fourth International Conference on …, 2019 – ieeexplore.ieee.org
… [20] NK Manaswi, Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras, Apress, 2018. [21] V. Subramanian, Deep Learning with PyTorch, Packt Publishing, 2018 …

Integrating Bayesian and Neural Networks for Discourse Coherence
J Peng, Z Ma, D Jiang, H Wu – … Proceedings of The 2019 World Wide …, 2019 – dl.acm.org
… This is crucial for the dialogue system, since inconsistent response might hurt the user’s experience when interacting with a chatbot. In Figure 1, we present two cases to … All the models are implemented using tensorflow and trained on a Tesla P40 GPU …

Exploiting graphoelements and convolutional neural networks with long short term memory for classification of the human electroencephalogram
P Nejedly, V Kremen, V Sladky, J Cimbalnik… – Scientific reports, 2019 – nature.com
The electroencephalogram (EEG) is a cornerstone of neurophysiological research and clinical neurology. Historically, the classification of EEG as showing normal physiological or abnormal pathological activity has been performed by expert visual review. The potential value of unbiased …

Labyrint—Thursday, February 7, 2019
W Kosters – pdfs.semanticscholar.org
… 6 Page 7. AI Chatbots Already in 1964–66 Joseph Weizenbaum from MIT/Boston wrote the nice psychotherapy program ELIZA/DOCTOR. An example conversation from Jason Hutchens’ HAL/HeX … C++/Python/TensorFlow/Keras convolutional NN 20 Page 21. AI Conclusion …

Bitcoin Trading Strategies Using News and Tweets with Sentiment Analysis
PMY Fung, ACY Leung, AWM Ng, BCH Wan, ITH Yim – 2019 – aifin-hkust.github.io
… From Google search to the facial recognition in Apple iPhone to Amazon Alexa chatbot which enables the intelligent living … The article gives an example of Google provides its TensorFlow for free and becomes popular software for machine learning, users will more incline to …

A Conversational User Interface for Stock Analysis
P Lauren, P Watta – 2019 IEEE International Conference on Big …, 2019 – ieeexplore.ieee.org
… 8https://www.tensorflow.org/api docs/python/tf/keras/layers/LSTM … [2] M. Skjuve and PB Brandtzæg, “Chatbots as a … [3] A. Fadhil, “Can a chatbot determine my diet?: Addressing chal- lenges of chatbot application for meal recommendation,” arXiv preprint arXiv:1802.09100, 2018 …

Deep learning based recommender system: A survey and new perspectives
S Zhang, L Yao, A Sun, Y Tay – ACM Computing Surveys (CSUR), 2019 – dl.acm.org
… that traditional recommender algorithms (matrix factorization, factorization machines, etc.) can also be expressed as neural/differentiable architectures [53, 54] and trained efficiently with a framework such as Tensorflow or Pytorch … speech recognition, chatbots, and many others …

Less (Data) Is More: Why Small Data Holds the Key to the Future of Artificial Intelligence
C Greco, A Polonioli, J Tagliabue – arXiv preprint arXiv:1907.10424, 2019 – arxiv.org
… eg Abadi et al 2015), resulted in the possibility of replicating state-of-the- art models from a common laptop (Tensorflow 2018) … As knowledge graphs are trending in the industry (Sicular and Brant 2018) and they are independently motivated as chatbot back bone, we shall …

AI: A Glossary of Terms
V Farhang-Razi, P Algra – Clinical Medicine Covertemplate, 2019 – Springer
… Chatbot Chatbot, also known as interactive agent, is an artificial intelligence system that uses natural language processing techniques to conduct a conversation via audio or texts. The most recognizable examples of chatbots are Apple’s Siri, Microsoft’s Cortana, and Amazon’s …

Hands-On Machine Learning with IBM Watson: Leverage IBM Watson to implement machine learning techniques and algorithms using Python
JD Miller – 2019 – books.google.com
… You will learn how to create a Spark pipeline in Watson Studio. The book will also guide you in terms of deep learning and neural network principles on IBM Cloud with TensorFlow. You will learn how to build chatbots using NLP techniques …

Transforming Legacy Banking Applications to Banking Experience Platforms
SK Shivakumar, S Sethii – Building Digital Experience Platforms, 2019 – Springer
… Forums, wiki, messenger, chatbot, knowledge base, calendar, survey, polls, e-mail, review … Self-learning, continuous improvement, text analytics, predictive analytics, chatbots, virtual assistants, intelligent … Key Tools: H2O.ai,Apache PredictionIO, IBM Watson, Google TensorFlow …

TUM Data Innovation Lab
H Agarwala, R Becker, M Fatima, L Riediger, A Belitski… – 2019 – di-lab.tum.de
… The potential is quite big as developers could improve their chatbots over time … It also provides the flexibility to modify the pipeline and deploy the entire chatbot from personal servers … Rasa itself recommends two different pre-defined pipelines to use: spaCy and Tensorflow …

Prediction Model of User Physical Activity using Data Characteristics-based Long Short-term Memory Recurrent Neural Networks.
JC Kim, K Chung – KSII Transactions on Internet & Information Systems, 2019 – itiis.org
… The chatbot-based mobile health service developed by Park et al … The physical activity prediction model uses keras on RStudio for learning. The software environment comprises Windows 10 Pro, R 3.5.0 [34], RStudio 1.1.453 [35], Keras 2.1.6 [36], and TensorFlow 1.8.0 [37] …

A crowd-powered conversational assistant for the improvement of a neural machine translation system in native peruvian language
HE Gómez Montoya – tesis.pucp.edu.pe
… 3https://www.tensorflow.org/guide/keras 4https://www.wolfram.com 5https://www.wolframcloud … Dise˜nar e Implementar un asistente de traducción automática conversacional (chatbot) basado en … las caracter?sticas de los antiguos modelos y los nuevos en relación a chatbots …

AI Benchmark: All About Deep Learning on Smartphones in 2019
A Ignatov, R Timofte, A Kulik, S Yang, K Wang… – arXiv preprint arXiv …, 2019 – arxiv.org
… Processing) problems, such as natural language trans- lation [80, 7], sentence completion [52, 24], sentence senti- ment analysis [77, 72, 33], voice assistants [18] and interac- tive chatbots [71] … Mobile devices were run- ning the FP16 model using TensorFlow Lite and NNAPI …

Assessing the factual accuracy of generated text
B Goodrich, V Rao, PJ Liu, M Saleh – Proceedings of the 25th ACM …, 2019 – dl.acm.org
… free metrics listed in Sec 5. (2) To train fact tuple extraction models, we release code (as part of the Tensor2Tensor1 framework along with the model weights2) and a large dataset (Sec 3) based on Wikidata and Wikipedia at https://github.com/tensorflow/tensor2tensor/ tree …

Impact of Artificial Intelligence on Businesses: from Research, Innovation, Market Deployment to Future Shifts in Business Models
N Soni, EK Sharma, N Singh, A Kapoor – arXiv preprint arXiv:1905.02092, 2019 – arxiv.org
… Oracle, multinational computer technology corporation, “With regards to chatbots, which are in many ways the most recognizable form of AI, 80% of sales and … Product recommendation system: Tmall Smart Selection, AI-powered chatbot: Dian Xiaomi …

Web interface for machine learning as decision making support
J Hegelund, A Ljungqvist – 2019 – lup.lub.lu.se
… Google have released a framework called TensorFlow. This is a framework that you, as a programmer without any machine … In March of 2018 Google released a framework called TensorFlowJS which is built on TensorFlow, but is developed for the web us- ing JavaScript …

DELGAS–DEEP LEARNING GST ANALYTICS SYSTEM
S Gupta, S Kadam, S Shetty – 2019 – dspace.dbit.in
… keras and tensorflow libraries … In these situations, FAQ Chatbots come in handy, effective and thus, have become enormously popular … The blog ‘Building a FAQ Chatbot in Python – The Future of Information Searching’ [14] presents a particular implementation of the chatbot using …

Adaptive dialogue management for a script knowledge based conversational assistant
I Feustel – 2019 – oparu.uni-ulm.de
Page 1. Adaptive Dialogue Management for a Script Knowledge Based Conversational Assistant Master Thesis by Isabel Feustel Reviewer: Prof. Dr. Dr.-Ing. Wolfgang Minker Co-Reviewer: Prof. Dr. Birte Glimm Supervisor: M.Sc. Juliana Miehle …

Automatic Speech Recognition for Real Time Systems
R Singh, H Yadav, M Sharma… – 2019 IEEE Fifth …, 2019 – ieeexplore.ieee.org
… We used Tensorflow [39] framework for DeepSpeech1 (DS1) and PyTorch [40] framework for … Chatbots are becoming more sophisticated and contextually-aware, making them able to anticipate and … of speech- to-text and text-to-speech based communications, chat- bots must be …

The potential for artificial intelligence in healthcare
T Davenport, R Kalakota – Future healthcare journal, 2019 – ncbi.nlm.nih.gov
… from competition with free ‘open source’ programs provided by some vendors, such as Google’s TensorFlow … However, in a survey of 500 US users of the top five chatbots used in … UserTesting Healthcare chatbot apps are on the rise but the overall customer experience (cx) falls …

Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems
J Li, C Tao, Y Feng, D Zhao, R Yan – Proceedings of the 2019 …, 2019 – aclweb.org
… All models are implemented with TensorFlow and tuned on the validation sets … Yu Wu, Wei Wu, Zhoujun Li, and Ming Zhou. 2018. Learning matching models with weak supervision for response selection in retrieval-based chatbots. arXiv preprint arXiv:1805.02333. Page 6. 1296 …

Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems
J Feng, C Tao, W Wu, Y Feng, D Zhao… – arXiv preprint arXiv …, 2019 – arxiv.org
… and cross- attention. Both models are implemented with TensorFlow according to the details in Wu et al. (2017) and Zhou et al. (2018b). To implement … vectors is 200. The co-teaching framework is implemented with TensorFlow. In co …

Application of Artificial Intelligence in Psychological Evaluation of a Person using a Virtual Assistant
T Bhatnagar – researchgate.net
… a chat bot or an intelligent agent … 649 –657 [18] DP Kingma and J. Ba, “Adam: A Method for Stochastic Optimization,” ArXiv e-prints, Dec. 2014. [19] M. Abadi, P. Barham, J. Chen, Z. Chen, A. Davis, J. Dean, M. Devin, S. Ghemawat, G. Irving, M. Isard et al., “Tensorflow: A system …

Retail Shelf Analytics Through Image Processing and Deep Learning
A De Biasio – 2019 – tesi.cab.unipd.it
… revolution that accelerates the innovative development of different architectures such as industrial automation systems, medical devices, chatbots and enterprise … Particular attention was given to the development of a deep learning architecture based on TensorFlow able to work …

Using a Natural Language Processing and Machine Learning Algorithm Program to Analyze Inter-Radiologist Report Style Variation and Compare Variation Between …
LF Donnelly, R Grzeszczuk, CV Guimaraes… – Current problems in …, 2019 – Elsevier
… triage of emergency cases based on a clinical report content, to customer support conversational agents (or chatbots) that can … Open source toolkits were used throughout the process, including Apache OpenNLP, Apache Lucene, Stanford NLP, Keras, and Google’s TensorFlow …

A Data-Driven Approach For Automatic Visual Speech In Swedish Speech Synthesis Applications
J Hagrot – 2019 – diva-portal.org
… The objective was to produce a framework for an- imated chat bots in Swedish … a customer, eg a service provider or business, to provide its clients with a chat bot avatar rendered … Since the ANN is run client-side and without GPU access, which TensorFlow’s JavaScript API does …

Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions
Y Niu, H Zhang, Z Lu, SF Chang – IEEE transactions on pattern …, 2019 – ieeexplore.ieee.org
… intelligence, since it establishes a communication channel between humans, machines, and the physical world, underpinning a variety of multimodal artificial intelligence tasks such as robotic navigation [45], visual question answering [1], [21], [62], and visual chatbot [7]. Thanks …

Seeing Is Believing: Custom Vision
A Masood, A Hashmi – Cognitive Computing Recipes, 2019 – Springer
… The zip file will have two files—one for labels and one for TensorFlow. Open image in new window Figure 3-29. Figure 3-29 Download the exported files as a zip archive … url) ; }); Create the chatbot by adding these lines of code: // Create chat bot. var connector = new builder …

Energy-based self-attentive learning of abstractive communities for spoken language understanding
G Shang, AJP Tixier, M Vazirgiannis… – arXiv preprint arXiv …, 2019 – arxiv.org
… 1 Introduction Today, large amounts of digital text are gener- ated by spoken or written conversations, let them be human-human (customer service, multi-party meetings) or human-machine (chatbots, virtual as- sistants). Such text comes in the form of tran- scriptions …

Semi-supervised training for End-to-End models via weak distillation
B Li, TN Sainath, R Pang, Z Wu – ICASSP 2019-2019 IEEE …, 2019 – ieeexplore.ieee.org
… The Apps test set contains requests to talk with one of many chat-bots such as “talk to trivia game” … The LAS model out- puts a vocabulary of 16K word pieces. The models are trained with label smoothing and cross-entropy loss using TensorFlow [29] …

Ethical Considerations in AI-Based Recruitment
DF Mujtaba, NR Mahapatra – 2019 IEEE International …, 2019 – ieeexplore.ieee.org
… workforce possibly needing to change occupational categories by 2030 due to technological advances [1]. Recently, AI has been adopted in the human resources (HR) industry, for purposes such as predicting employee attrition, chatbot systems for … [33] Tensorflow, “Lucid,” 2018 …

Collaborative Innovation in Healthcare: Boundary Resources for Peripheral Actors
M Aanestad, P Vassilakopoulou, E Øvrelid – 2019 – aisel.aisnet.org
… avenues for mental health chat assistants – while not a formal clinical diagnosis, a chatbot with the … These approaches are unfit for use in a digital service such as chatbots … For this we use the Embedding Language Model (ELMo) through its Tensorflow implementation (Peters et …

Machine Learning Architecture to Financial Service Organizations
K Palanivel – 2019 – academia.edu
… NLP powers the voice and text-based interface for virtual assistants and chatbots. NLP is increasingly being used to query data sets as well … The ML can be applied to customer support using chatbots, personalized experience and sentiment analysis …

Virtualization of stateful services via machine learning
HF Eni?er, A Sen – Software Quality Journal, 2019 – Springer
… For ease of presentation, we now present an analogy between chatbots and virtual services. Chatbots are computer programs that can conduct a conversation with a person. A chatbot has to consider previous questions or answers to pursue a logical conversation …

LSTM vs. GRU vs. Bidirectional RNN for script generation
S Mangal, P Joshi, R Modak – arXiv preprint arXiv:1908.04332, 2019 – arxiv.org
… reinforcement learning (DL) to stimulate dialogues between two virtual agents, using the policy gradient method further rewarding chatbot dialogue … prediction was done with the help of deep learning technology and code implementation on Keras (using Tensorflow as backend …

An educational approach to machine learning with mobile applications
K Zhu – 2019 – dspace.mit.edu
… to guide them through developing their own Scratch applications that use machine learning, like image recognition, chatbots, and game playing … In my extensions, these computations are handled with TensorFlow.js, which will be discussed in a later section …

Design of data virtual assistant using natural language processing
U Mittal – Journal of the Gujarat Research Society, 2019 – gujaratresearchsociety.in
… The modules used are SpeechRecognition Module, Pyaudio, BeautifulSoup, Requests, GTTS, CNN, TensorFlow, NLTK, OpenCV Pseudo Code of the proposed methodology … [2.] Harshita Phatnani, Mr. Jyotiprakash Patra and Ankit Sharma’ “CHATBOT ASSISTING: SIRI …

Bringing Computational Thinking to Nonengineering Students through a Capstone Course
K Lee, Y Kang – Proceedings of the 52nd Hawaii …, 2019 – scholarspace.manoa.hawaii.edu
… As for the technologies used, the team employed Open CV for distance estimation, TensorFlow for deep learning, Google Maps API for location … PPUCHA uses the KakaoTalk Chatbot/Plus Friend system and barcode scanners to ensure that expecting mothers have a place to sit …

Sémantické porozum?ní konverzaci
P Lorenc – 2019 – dspace.cvut.cz
… Each conversation has 20 turns on average. It sounds like very promising data for future development in chatbots’ field. Usually chatbot gets a query q and system returns a response r. Respond model has usually two options …

Artificial Intelligence Landscape
H Leopold, W Krenn, R King… – Center for Digital Safety & …, 2019 – researchgate.net
… (user-friendly TensorFlow), PyTorch (Facebook) or MXNet (Amazon) … language and the document structure (automated document processing). • Automatic machines to process customer queries and perform customer service tasks (Chatbots) • Analysis of customers’ purchasing …

Smart Home Appliances: Chat with Your Fridge
D Gudovskiy, G Han, T Yamaguchi… – arXiv preprint arXiv …, 2019 – arxiv.org
… The drawback of chat bot interface is lack of buttons to perform the most frequent actions quickly like in traditional … is written in Node.js (Node.js, 2019) and ML part is implemented in Python using popular TensorFlow (Abadi et … A number of messengers provide custom chat bots …

NATURAL LANGUAGE GENERATION USING GENERATIVE ADVERSARIAL NETWORKS
A SARAVANAN, A MENON – 2019 – researchgate.net
… 1.6.3 Keras 14 1.6.4 Tensorflow 14 1.7 ISSUES AND CHALLENGES 15 … learning algorithms are clustering and association rule learning. The most common use-cases of supervised learning include chatbots, self-driving cars and facial recognition systems. 1.3 DEEP LEARNING …

End-to-end Gated Self-attentive Memory Network for Dialog Response Selection
S Sun, YC Tam, J Cao, C Yan, Z Fu, C Niu, J Zhou – 2019 – cs.utah.edu
… al. 2015. TensorFlow: Large-scale machine learning on heterogeneous systems … Wu, Y.; Wu, W.; Xing, C.; Zhou, M.; and Li, Z. 2016. Se- quential matching network: A new architecture for multi- turn response selection in retrieval-based chatbots. arXiv preprint arXiv:1612.01627 …

Who will control the media? The impact of GAFAM on the media industries in the digital economy
JCM de Bustos, J Izquierdo-Castillo – Revista Latina de …, 2019 – researchgate.net
… ARKit Oculus, Augmented reality tools HoloLens, Mixed Reality Voice- activated/virtual assistant, chatbots, Smart speakers … Pages 807 Artificial Intelligence Deepmind, TensorFlow Caffe Facebook AI Research Amazon AI Microsoft Artificial Intelligence Program e-com m erce …

Constructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection
J Lu, C Zhang, Z Xie, G Ling, TC Zhou… – Proceedings of the 57th …, 2019 – aclweb.org
… Secondly, we study the ability of representation module by testing LSTM, GRU and Transformer with the default hyperparameter in Tensorflow … 2017. Sequential matching network: A new architecture for multi-turn response selection in retrieval-based chatbots …

Application of Artificial Intelligence in the National Airspace System–A Primer
RL Stroup, KR Niewoehner – 2019 Integrated Communications …, 2019 – ieeexplore.ieee.org
… to get you through checkpoints faster, predictive tools to enhance responsiveness during disruptions, and implementation of chat-bots to enable timely … There are numerous open source projects (eg Tensorflow [37], and Scikit-learn [38]) which accelerate the development of this …

A Proposal of Neural Networks with Intermediate Outputs
B Peralta, J Reyes, L Caro, C Pieringer – Iberian Conference on Pattern …, 2019 – Springer
… users [15]. Furthermore, ML also allows the development of tools based on speech recognition, such as voice assistants and chatbots [3]. One of … RAM memory. We use Python with Tensorflow to code the algorithms [10]. We compare …

Deep Learning and Neurology: A Systematic Review
AAA Valliani, D Ranti, EK Oermann – Neurology and therapy, 2019 – Springer
… have proved to be essential in modern engineering breakthroughs—from face recognition and self- driving cars to chat-bots and language … In addition, the rise of open-source deep learning frameworks, such as TensorFlow, Keras, PyTorch, Caffe, and others, has increased …

Artificial intelligence and the technologies of the Next Production Revolution
A Nolan – 2019 – oecd-ilibrary.org
… Chatbots and similar systems are now able to interact with workers using natural language, providing answers and context-specific help that … These include software libraries such as TensorFlow and Keras, and tools that facilitate coding such as GitHub, text editors like Atom …

Vietnamese Question Classification based on Deep Learning for Educational Support System
BT Hung – 2019 19th International Symposium on …, 2019 – ieeexplore.ieee.org
… Fig.5 LINDA Chatbot for Educational Support System For pre-processing dataset, we used Vietnamese Tokenize by Pyvi (0.0.0.9 – Tran Viet Trung 2016), Pre-train word embeddings by streetcodevn (Hung Le 2018). For our training models, we used Tensorflow framework and …

Deep Hybrid Networks Based Response Selection for Multi-turn Dialogue Systems
X Li, L Zhang, W Rong, B Li, L Qi – ICASSP 2019-2019 IEEE …, 2019 – ieeexplore.ieee.org
… The proposed model is implemented on Tensorflow [19] and we employ word2vec [20] to initialize the word embed- ding with the … Can Xu, Zhoujun Li, and Ming Zhou, “A sequential matching framework for multi-turn response selection in retrieval-based chat- bots,” arXiv preprint …

Practical Machine Learning with Rust
J Bhattacharjee – Springer
… 5.2 Named Entity Recognition …..201 5.3 Chatbots and Natural Language Understanding (NLU) ….213 … 6.3 Tensorflow and Face Detection …..264 …

Pristine Sentence Translation: A New Approach to a Timeless Problem
M Ahluwalia, B Coari, B Brock – SMU Data Science Review, 2019 – scholar.smu.edu
… of Recur- rent Neural Network architectures typically used (but not restricted) to solve complex Lan- guage related problems like Machine Translation, Question Answering, creating Chat-bots, Text Summarization … We use the Keras API with Tensorflow backend to build our model …

Practical Machine Learning with Rust: Creating Intelligent Applications in Rust
J Bhattacharjee – 2019 – books.google.com
… Sentence Classification…..188 5.2 Named Entity Recognition…..201 5.3 Chatbots and Natural … 256 6.2.2 Neural Style Transfer…..257 6.3 Tensorflow and Face …

Pun Detection using Soft Computing Techniques
A Jaiswal – … Conference on Machine Learning, Big Data …, 2019 – ieeexplore.ieee.org
… Chat-bots and Speech-Text based assistants are becoming increasingly popular … FIG. 1. SYSTEM ARCHITECTURE Keras and Scikit-Learn [25] libraries were used to create the models with a Tensorflow backend to support GPU and computations …

Ml health: Fitness tracking for production models
S Ghanta, S Subramanian, L Khermosh… – arXiv preprint arXiv …, 2019 – arxiv.org
… MCenter supports a gamut of analytic engines/libraries (such as Spark, TensorFlow, Scikit-Learn, and PyTorch), languages (such as R, Python, Scala, and Java), resource managers (such as YARN, Kubernetes, Docker Server, Stand- alone Spark, and Flink) and Cloud …

Artificial intelligence and machine learning in spine research
F Galbusera, G Casaroli, T Bassani – JOR spine, 2019 – Wiley Online Library
… which achieved very good performances already in the 1970s (Slate and Atkin, 1983), and the first chatbots which could simulate to some extent a conversation in natural language (Weizenbaum, 1966) … ML frameworks such as Torch (http://torch.ch/), Tensorflow …

A Deep Learning Based Autonomous Mobile Robotic Assistive Care Giver
A Khan, M Bahrami, Y Anwar – researchgate.net
… of both: a smart conversational agent, for reminiscence and health monitoring and a chatbot, with ability … traditional Q/A systems aim to produce an answer such as AliMe Chat bot [36], our … ing model by using Keras and TensorFlow to learn Ques- tion/Answer dataset and predict …

Forging a Responsibility and Liability Framework in the AI Era for RegTech
BB Tang – The RegTech Book, 2019 – Wiley Online Library
… 10 See, eg ‘Google Just Open Sourced TensorFlow, Its Artificial Intelligence Engine’, Wired, 9 November 2015; https://www.wired … Compliance chatbots.14 … See also ‘Twitter Taught Microsoft’s AI Chatbot to Be a Racist Asshole in Less Than a Day’, The Verge, 24 March 2016; https …

Beyond Mobile Apps: A Survey of Technologies for Mental Well-being
K Woodward, E Kanjo, D Brown, TM McGinnity… – arXiv preprint arXiv …, 2019 – arxiv.org
… A survey given to 5,141 participants in the age range 16-24 years showed nearly two thirds would be comfortable with a chatbot giving them a diagnosis [39]. Chatbots can utilise artificial intelligence to reduce their reliance on predefined scripts and deliver individualised …

The AI Pandorica: Linking Ethically-challenged Technical Outputs to Prospective Policy Approaches
R J. Domanski – Proceedings of the 20th Annual International …, 2019 – dl.acm.org
… has become highly evident with the recent development of open source AI programming libraries and frameworks such as TensorFlow and Scikit … In March 2016, Microsoft released a new chatbot named Tay using an artificial intelligence algorithm that could purportedly learn the …

A Photo-realistic Voice-bot
J Alexander – 2019 – upcommons.upc.edu
… All that would be left to create an improvement on Microsoft’s photo-realistic chatbot would be to drive the model … transferring photo-realistic images from source to target. Other work that might at first seem suited to creation of a video chatbot include …

New records-02 October 2019
K Bibliotek, C Ethiopic – bl.uk
… Database management, Congresses. 005.758 Building an enterprise chatbot : work with protected enterprise data using open source frameworks / Abhishek Singh, Karthik Ramasubramanian, Shrey Shivam. [online resource] —New York : Apress, [2019] …

The BIMbot: a cognitive assistant in the BIM room
I Mutis, A Ramachandran, MG Martinez – Advances in Informatics and …, 2019 – Springer
… 1–39. Atlanta, Georgia Institute of Technology (2011)Google Scholar. 7. Jack, C.: CHATBOT: Architecture, Design, and Development (2017)Google Scholar … Google’s NMT Documentation— https://github.com/tensorflow/nmt. 14 … Ramamoorthy, S.: Chatbots with Seq2Seq …

Semantic Oppositeness Embedding Using an Autoencoder-Based Learning Model
N de Silva, D Dou – International Conference on Database and Expert …, 2019 – Springer
… in turn, helps in building reasoning chains and other utilities for various front-end applications, such as question-answering systems and chat bots … We used a TensorFlow [32, 33] based implementation of the two-layer auto-encoder proposed by [34] for the purpose of training …

Have a chat with BERT; passage re-ranking using conversational context
T Crijns – 2019 – pdfs.semanticscholar.org
… In technologically ad- vanced societies, it is common to encounter such artificial conversation partners, as the underlying technologies have existed in various forms for some time since as early as 1966, when the pioneering chatbot ELIZA was created in the MIT AI Labo- ratory …

Insight of Artificial Intelligence Application in Healthcare
C Kuang – International Journal of Sciences, 2019 – pdfs.semanticscholar.org
… According to a research, college students who have conversations with chatbots decrease their depressions and anxiety20 … 2018, 2, 193–203. 25. Barham P, Chen J, Chen Z, Davis A, Dean J, Devin M, et al. TensorFlow: A System for Large-Scale Machine Learning. In. OSDI …

The Path Ahead
J Moolayil – Learn Keras for Deep Neural Networks, 2019 – Springer
… The rise of chatbots, improved autocorrect in text messaging, suggested reply in e-mail clients and other apps, and machine translation (ie, translating text from a source … While exploring the environment set up in Chapter 2, we came across installing TensorFlow for GPU …

Deep learning for nlp and speech recognition
U Kamath, J Liu, J Whitaker – 2019 – Springer
… Practical aspects of using these techniques with tips and tricks essential for real- world applications • A hands-on approach in using Python-based libraries such as Keras, TensorFlow, and PyTorch to apply these techniques in the context of real-world case studies …

The present and future of deep learning in radiology
L Saba, M Biswas, V Kuppili, EC Godia, HS Suri… – European journal of …, 2019 – Elsevier
… Within a span of very few years, advances such as self-driving cars, robots performing jobs that are hazardous to human, and chat bots talking with human operators have proved that DL has already made large impact on our lives …

Artificial Intelligence: Investment Trends and Selected Industry Uses
X Mou – pdfs.semanticscholar.org
… Examples include Amazon Machine Learning Services, Google DeepMind and TensorFlow, IBM Watson, and Microsoft Cortana … 5. Humanlike chatbots, similar to the popular Siri application, can intelligently interact with customers … NextIt is an example of a chat bot provider …

Engineering Multi-Agent Systems: State of Affairs and the Road Ahead
V Mascardi, D Weyns, A Ricci – ACM SIGSOFT Software Engineering …, 2019 – dl.acm.org
… The usefulness of Ravel has been demonstrated in a chat-based finance adviser system designed as a chat group of five participants: four collaborative chatbots with two different roles (mediator and expert) and a human or chatbot user …

Detection and classification of social media-based extremist affiliations using sentiment analysis techniques
S Ahmad, MZ Asghar, FM Alotaibi, I Awan – Human-centric Computing and …, 2019 – Springer
… It is also beneficial in terms of classifying user’s extremist affiliation by filtering tweets prior to their onward transmission, recommendation or training AI Chatbot from tweets [6] … The DL model is trained with the Keras library [31] based on TensorFlow …

Lojbanic English, An Interlingua for Parallel Machine Translation
LP Immes – 2019 – search.proquest.com
Page 1. LOJBANIC ENGLISH, AN INTERLINGUA FOR PARALLEL MACHINE TRANSLATION A Dissertation Presented by LUKE P. IMMES Submitted to the Graduate School of the University of Massachusetts Lowell in partial fulfillment of the requirements for the degree of …

Driven answer generation for product-related questions in e-commerce
S Chen, C Li, F Ji, W Zhou, H Chen – … on Web Search and Data Mining, 2019 – dl.acm.org
Page 1. Review-Driven Answer Generation for Product-Related Questions in E-Commerce Shiqian Chen1, Chenliang Li1?, Feng Ji2, Wei Zhou2, Haiqing Chen2 1. Key Laboratory of Aerospace Information Security and Trusted …

Automatic disease annotation from radiology reports using artificial intelligence implemented by a recurrent neural network
C Lee, Y Kim, YS Kim, J Jang – American Journal of …, 2019 – Am Roentgen Ray Soc
… We used a sequence-to-sequence model, which is a sequence learning model used for chatbot, translation, and image captioning, to create a high-accuracy annotation tool [19] (Fig … The deep learning framework was TensorFlow (version 1.01, Google Brain Team) [24]. Results …

Emoty: An Emotionally Sensitive Conversational Agent for People with Neurodevelopmental Disorders
F Catania, N Di Nardo… – … of the 52nd …, 2019 – scholarspace.manoa.hawaii.edu
… techniques. More recently, many big companies have been investing strongly in the CA area, often with the aim of developing “utility-driven” chatbots to have natural digital conversations indistinguishable from human ones [18] …

Applied machine learning for smart data analysis
N Dey, S Wagh, PN Mahalle, MS Pathan – 2019 – taylorfrancis.com
… 3 ML Dhore and PH Rathod 2. Anti-Depression Psychotherapist Chatbot for Exam and Study-Related Stress … 117 Shilpa G. Kolte and Jagdish W. Bakal 7. Topic-Speciic Natural Language Chatbot as General Advisor for College …

Advanced Stochastic Optimization Algorithm for Deep Learning Artificial Neural Networks in Banking and Finance Industries
JA Adamu – Risk and Financial Management, 2019 – j.ideasspread.org
… In Bank and Finance Industries, one of giant and bravery first steps was take in 2015 by Ally Bank (USA) thereby introduced Ally Assist: “a chatbot that could … Banks around the globe launched best versions of chatbots: Erica to iPAL, Eva and the most famous one, SBI’s SIA …

Intent Based Utterance Segmentation for Multi IntentNLU
A Sethupat Radhakrishna – 2019 – conservancy.umn.edu
… This dataset is a collection of utterances of users and the chatbot along with corresponding intent-slot pairs as labels in a task oriented dialog system setting … function. The model was built using Keras and tensorflow modules in Python 3.6. It was …

A Flexible and Scalable Architecture for Human-Robot Interaction
DR Recupero, D Dessì, E Concas – European Conference on Ambient …, 2019 – Springer
… The picture is sent to the SSSC which implements an internal TensorFlow model that is currently able to recognize 91 types of general objects … Piccolo, L., Mensio, M., Alani, H.: Chasing the chatbots: Directions for interaction and design research (2019)CrossRefGoogle Scholar …

NVSRN: A Neural Variational Scaling Reasoning Network for Initiative Response Generation
J Chang, R He, H Xu, K Han, L Wang… – … Conference on Data …, 2019 – ieeexplore.ieee.org
… I. INTRODUCTION Intelligent chatbots aim to give a human-like response according to the corresponding context, which can be used in e … A prevailing generation-based approach to building a chatbot is to train a sequence-to-sequence neural network (Seq2Seq) [6]–[8 …

Deep learning model for unstructured knowledge classification using structural features
W Joo, KS Choi, YK Kim – Personal and Ubiquitous Computing, 2019 – Springer
… For example, chatbots are used to analyze customer inquiries and provide optimal an- swers … implementation and experiments, we built the environment presented in Table 1. We used Keras for model definition to select deep learning frameworks and TensorFlow for processing …

Internet of Things Security, a State of the Art
P Florence, C Prat, B Bigey, L Menassol… – remigascou.github.io
… After some days of interactions with up to no good users, the chatbot started to tweet racist and sexist statements. Compromised trainer | The analysis uses third-party libraries to process the data-set into the ML model, for instance TensorFlow library4 available for Python …

Intent Based Utterance Segmentation for Multi IntentNLU
AS Radhakrishna – 2019 – search.proquest.com
… This dataset is a collection of utterances of users and the chatbot along with corresponding intent-slot pairs as labels in a task oriented dialog system setting … function. The model was built using Keras and tensorflow modules in Python 3.6. It was …

Privacy Risks and Responses in the Digital Age
J Cowls – The 2018 Yearbook of the Digital Ethics Lab, 2019 – Springer
… to train them (Garvie & Frankle 2016), to Microsoft’s artificially intelligent Twitter chat bot, “Tay”, which … com/technology/2018/mar/07/google-ai-us-department-of-defensemilitary-drone-project- maven-tensorflow … Tay, Microsoft’s AI chatbot, gets a crash course in racism from Twitter …

Challenges in application of machine learning in insurance industry
BR Pavlovi? – Tokovi osiguranja, 2019 – scindeks.ceon.rs
… Googleov TensorFlow). Zahvaljuju?i ispunjenim navedenim preduslovima, intenzivna primena mašinskog u?enja nije zaobišla ni delatnost osiguranja. IV … 3. Allstate22 Osiguravaju?a ku?a „Allstate“ razvila je virtuelnog asistenta, Chat-bot ABIE (skra?eno od engl …

Predicting microRNA sequence using CNN and LSTM stacked in Seq2Seq architecture
R Chakraborty, Y Hasija – IEEE/ACM transactions on …, 2019 – ieeexplore.ieee.org
… Previously, LSTMs have been used in building chatbots, language translation, image captioning etc. [14] … In python, we used Keras library of deep learning using Tensorflow in background for building and training our model …

Distributed traffic forecasting using Apache Spark
N Boufidis – 2019 – repository.ihu.edu.gr
… telligence applications like fully or semi-autonomous vehicles, to clever, humanlike chat- bots like Apple’s Siri and Microsoft’s Cortana … processing and TensorFlow for developing the deep neural networks. The NN consists of …

Knowledge-incorporating ESIM models for response selection in retrieval-based dialog systems
J Ganhotra, SS Patel, K Fadnis – arXiv preprint arXiv:1907.05792, 2019 – arxiv.org
… We use sigmoid function and minimize binary cross-entropy loss for training and updating the model. The baseline model was implemented in Tensorflow (Abadi et al … 2016. Tensorflow: Large-scale ma- chine learning on heterogeneous distributed systems …

Disambiguating Speech Intention via Audio-Text Co-attention Framework: A Case of Prosody-semantics Interface
WI Cho, J Cho, WH Kang, NS Kim – arXiv preprint arXiv:1910.09275, 2019 – arxiv.org
… Models were implemented with Keras [14], using TensorFlow backend … Followingly, the system users or social chatbots might be able to provide proper response/reaction in free-style or goal-oriented conversations with others. 5. CONCLUSION …

Word Embeddings-Skip Gram Model
PP Krishna, A Sharada – International Conference on Intelligent …, 2019 – Springer
… Few applications of word embedding are like machine translation, sentiment analysis, named entity recognition, chat bots and so on … http://www.thushv.com/natural_language_processing/ word2vec-part-1-nlp-with-deep-learning-with-tensorflow-skip-gram/. 14 …

Conclusion and Outlook: Algorithmic Business—Quo Vadis?
P Gentsch – AI in Marketing, Sales and Service, 2019 – Springer
… With tools like TensorFlow (machine learning) or Bonsai (search as a service), somewhat more sophisticated AI applications can be programmed … not only developed an ideal AI model for hone energy consumption on the basis of the nest data, but also a (chat)bot that asks you …

Advanced Customer Activity Prediction Based on Deep Hierarchic Encoder-Decoders
A Damian, L Piciu, S Turlea… – 2019 22nd International …, 2019 – ieeexplore.ieee.org
… results obtained by seq2seq methods in addressing problems such as NMT or our own neural generative language models (chatbots), we propose … The endYtoYend models were constructed and trained using Tensorflow [20] with GPU capabilities, which allows us to deploy the …

ArgDiver: Generating Sentential Arguments from Diverse Perspectives on Controversial Topic
CH Park, W Yang, JC Park – EMNLP-IJCNLP 2019, 2019 – aclweb.org
… Le et al.(2018) proposed a chatbot to interact and debate with people with both retrieval-based and generation- based methods … 4.4 Implementation Details We use a Tensorflow framework (Abadi et al., 2016) to implement our model and baselines …

Generating Sentential Arguments from Diverse Perspectives on Controversial Topic
CH Park, W Yang, JC Park – Proceedings of the Second Workshop on …, 2019 – aclweb.org
… Le et al. (2018) proposed a chatbot to interact and debate with people with both retrieval-based and generation- based methods … 4.4 Implementation Details We use a Tensorflow framework (Abadi et al., 2016) to implement our model and baselines …

From medical records to research papers: A literature analysis pipeline for supporting medical genomic diagnosis processes
FL Bello, H Naya, V Raggio, A Rosá – Informatics in Medicine Unlocked, 2019 – Elsevier
Skip to main content Skip to article …

Drishti–A Smartphone Application for Visually Impaired
Y Balani, D Narayanan, S Parande… – Available at SSRN …, 2019 – papers.ssrn.com
… 265-272 [10] Mukesh Kumar, Praveen Chandar, Avagaddi Prasad, K. Sumangali, “Android based educational Chatbot for visually impaired … Object Detection and Its Implementation on Android Devices [17] OSCAR ALSING , Mobile Object Detection using TensorFlow Lite and …

Informatics in Medicine Unlocked
FL Bello, H Naya, V Raggio, A Rosá – researchgate.net
Page 1. Contents lists available at ScienceDirect Informatics in Medicine Unlocked journal homepage: www.elsevier.com/locate/imu From medical records to research papers: A literature analysis pipeline for supporting medical genomic diagnosis processes? …

AI Business: Framework and Maturity Model
P Gentsch – AI in Marketing, Sales and Service, 2019 – Springer
… 3.3.6 Conversational Commerce, Chatbots and Personal Assistants … The use of (chat)bots for targeted promotion, disinformation and manipulation harbours a high risk for … Similar to how Google went public with the AI deep learning framework Tensorflow, Amazon 2016 …

Artificial intelligence: the societal responsibility to inform, educate, and regulate
AD Hilton – AI Matters, 2019 – dl.acm.org
… Then I saw the incidents making na- tional headlines of AI crashing cars, chat bots that respond with racist remarks, or smart TVs … As stated before even the open source packages like Tensorflow open many opportunities by encouraging people to work with deep learning, while …

Reinforcement Learning from Algorithm Model to Industry Innovation Industry Innovation: A Foundation Stone of Future A Foundation Stone of Future Artificial …
S DONG, J CHEN, Y LIU, T BAO… – ZTE …, 2019 – res-www.zte.com.cn
Page 1. ZTE COMMUNICATIONS September 2019 Vol. 17 No. 3 Reinforcement Learning from Algorithm Model to Industry Innovation: A Foundation Stone of Future Artificial Intelligence DONG Shaokang, CHEN Jiarui, LIU Yong, BAO Tianyi, and GAO Yang Review …

Requirements for Developing Robust Neural Networks
JS Hyatt, MS Lee – arXiv preprint arXiv:1910.02125, 2019 – arxiv.org
… References Anglade, T. 2017. How HBO’s Silicon Valley Built “Not Hotdog” with Mobile TensorFlow, Keras & React Native. Medi- um … Hunt, E. 2016. Tay, Microsoft’s AI Chatbot, Gets a Crash Course in Racism From Twitter. The Guardian. Hyatt, JS and Lee, MS 2019 …

A Legal Definition of AI
J Schuett – Available at SSRN 3453632, 2019 – papers.ssrn.com
… For example, it has been claimed that a chat bot named “Eugene Goostman” has passed the test in 2014 [38, 39] … Defining concrete algorithms (eg support vector machines) or libraries (eg TensorFlow) would be more precise, but less permanent …

A comparative study of social bot classification techniques
F Örnbratt, J Isaksson, M Willing – 2019 – diva-portal.org
… Guilbeault, 2018) have been constructed: ? Web Robots (crawlers) ? Chatbots (natural language based dialog system) … Many machine learning libraries developed with different tasks in mind exist; Scikit-learn, Tensorflow, Theano and Keras to name a few …

The Application of Artificial Intelligence in Financial Compliance Management
R Al-Shabandar, G Lightbody, F Browne, J Liu… – Proceedings of the …, 2019 – dl.acm.org
… infancy. For example, Google Brain’s second-generation system (TensorFlow) was released in 2017 … tasks. For example, chatbots are being used within customer services for the automation of addressing customer queries/requests …

. AI and Creating the First Multidisciplinary AI Lab
B Kim – Library Technology Reports, 2019 – search.proquest.com
… (3) A chatbot may take up part … TensorBooks have popular AI development frameworks, such as TensorFlow, Keras, PyTorch, Caffe, and Theano, already installed.25 In addition, Nvidia Jetson TX2 Development Kit, Ama- zon Echo, Google Home Mini, and several robots will be …

Machine Learning Implications for Banking Regulation
L McPhail, J McPhail – Available at SSRN 3423413, 2019 – papers.ssrn.com
… Forests and Neural Networks. Tensorflow is already being used to identify related words … dramatically. User experience has been enhanced through mobile as FinTech firms and traditional banks expand the use of Chatbots, digital banking, and personalized experience …

Recovering dropped pronouns in Chinese conversations via modeling their referents
J Yang, J Tong, S Li, S Gao, J Guo, N Xue – arXiv preprint arXiv …, 2019 – arxiv.org
… Xing et al. (2018) also presented a hierarchical recurrent attention network (HRAN) to model the hierarchy of conversation context in order to generate multi- turn responses in chatbots … 4.3 Training details Our model is implemented with Tensorflow …

A Bicameralism Voting Framework for Combining Knowledge from Clients into Better Prediction
YT Hsieh, CY Lee, CC Lin, P Liu… – 2019 IEEE International …, 2019 – ieeexplore.ieee.org
… of deep learning include game playing [1], [2], [3], [4], [5], speech recognition [6], [7], [8], [9], reconstructing lost or deteriorated parts of images [10], [11], chatbot programs that conduct … We use TensorFlow [45] to train VGG-19 model to obtain the master model and student models …

Emotion Dependent Facial Animation from Affective Speech
R Sadiq, S AsadiAbadi, E Erzin – arXiv preprint arXiv:1908.03904, 2019 – arxiv.org
… from speech has been an active re- search area in HCI for various applications, specially for humanoid robots, avatars, chat bots, virtual agents … Both of the deep models, DERN and DSRN, are trained using the Keras1 with Tensorflow [28] backend on a NVIDIA TITAN XP GPU …

Eugene: Towards deep intelligence as a service
S Yao, Y Hao, Y Zhao, A Piao, H Shao… – 2019 IEEE 39th …, 2019 – ieeexplore.ieee.org
… These devices might include mall surveillance cameras, smart fitting rooms that suggest better-fitting items to customers, audio-based chatbots that offer directory assistance, and indeed customers’ own phones (that run the … Specifically, we integrate it with TensorFlow [10] …

Auditing data provenance in text-generation models
C Song, V Shmatikov – Proceedings of the 25th ACM SIGKDD …, 2019 – dl.acm.org
… Text-generation models for tasks such as next-word prediction (the basis of query autocom- pletion and predictive virtual keyboards) and dialog generation (the basis of chatbots and automated customer service) are exten- sively trained on personal data, including users …

The Role of Innovation and IP in AI-Based Business Models
MA Bader, C Stummeyer – Digital Entrepreneurship, 2019 – Springer
… For example, a Chatbot used in the retail sector to enable a customer self-service solution in an … Virtual agents and Chatbots cover the low-cost side of the group, while physical world … domain, there might be open access to algorithms and software code (eg, TensorFlow and scikit …

Fuzziness Detection in Thai Law Texts Using Deep Learning
C Sangkeettrakarn, C Haruechaiyasak… – … of Information and …, 2019 – ieeexplore.ieee.org
… deal with a fuzziness in a legal domain, numerous of applications can be implemented, for example, law chatbots which educate or … Several tasks are planned to complete the ultimate goal of establishing an expert system or chatbot for the … [33] https://www.tensorflow.org/tutorials …

Detecting sentences that may be harmful to children with special needs
M Allouch, A Azaria, R Azoulay – 2019 IEEE 31st International …, 2019 – ieeexplore.ieee.org
… Chkroun and Azaria [5], [6] have developed Safebot, a chatbot system that converses with humans … classical machine learning algorithms implemented by the Scikit-learn Python library; (b) the Embedding-CNN method, as imple- mented by Keras, using the TensorFlow backend …

An End-to-End Network for Generating Social Relationship Graphs
A Goel, KT Ma, C Tan – Proceedings of the IEEE …, 2019 – openaccess.thecvf.com
… 2. Related Work 2.1. Social Relationship Recognition The area of social relationships is of growing interest to the community, as social chatbots and personal assistants need to understand social interactions … Our model is implemented using Tensorflow [1]. 4.4. Results …

Technologies that through Synergic Development can support the Intelligent Automation of Business Processes.
V Mazilescu, A Micu – Annals of the University Dunarea de …, 2019 – search.ebscohost.com
… Page 8. 98 such as the TensorFlow DNN module for Google … 14PFE/17.10.2018. References 1. AbuShawar, B., Atwell, E. (2015): Alice Chatbot: Trials and Outputs … Portsmouth, UK 10. Asbjørn, F., Brandtzæg, P., B. (2016): Chatbots and the New World of HCI. Interactions, Vol …

ConveRT: Efficient and Accurate Conversational Representations from Transformers
M Henderson, I Casanueva, N Mrkši?, PH Su… – arXiv preprint arXiv …, 2019 – arxiv.org
… portunities for more researchers and practition- ers to tap into the construction of neural task- based dialog systems. Pretrained dual-encoder models, both single-context and multi-context ones, are shared as TensorFlow Hub modules at github.com/PolyAI-LDN/polyai-models …

Classifying Confusion: Autodetection of Communicative Misunderstandings using Facial Action Units
N Borges, L Lindblom, B Clarke… – 2019 8th International …, 2019 – ieeexplore.ieee.org
… The model was built in Python 3.7, using the TensorFlow 2.0, scikit-learn 0.20.3 and Keras 2.2.4 libraries … other hand, an ability to detect Confusion early may allow such an interactive software (or robotic) agent to interact in ways that pre-empt confusion, eg a ChatBot might slow …

Deep Learning for Session Aware Conversational Agents
M Morisio, MA Senese – 2019 – webthesis.biblio.polito.it
… shows how this type of technique could be an important piece in the development of future chatbots. iv … In 1972 the psychiatrist Kenneth Colby implemented PARRY a chatbot that simulates a person affected by … 1.2.3 ’95 – Jabberwacky and ALICE heuristic based chat- bots …

User’s Content-Oriented Social-Bot Discovery on Twitter
N SUMAILA, S WAKAMIYA, E ARAMAKI – db-event.jpn.org
… 2 2 Chat Bot In Natural Language Processing (NLP) context, the main goal is to realize natural conversation instead of the bot de- tection … 4 3 Implementation Setup Our model is implemented in tensorflow on top of publicly available??4? implementation of CNN for sentence …

The future of fintech
SR Das – Financial Management, 2019 – Wiley Online Library
… 9 9 http://www.businessinsider.com/royal?bank?of?scotland?launches?ai?chatbot?luvo?using … 12 https://www.americanbanker.com/news/this?is?how?financial?services?chatbots?are?going … availability of data and open?source software packages such as TensorFlow make such …

Sequential Speaker Embedding and Transfer Learning for Text-Independent Speaker Identification
QB Hong, CH Wu, MH Su, HM Wang – iis.sinica.edu.tw
… The study was implemented by TensorFlow … [14] MH Su, CH Wu, KY Huang, QB Hong and HM Wang, “A chatbot using LSTM-based multi-layer embedding for elderly care,” IEEE International Conference on Orange Technology (ICOT), Singapore, Proceedings, pp …

Ad Campaigns Generation Using Deep Learning Approach
A Ahmed – Ad Campaigns Generation Using Deep Learning …, 2019 – 195.189.210.17
… SS Shake-Spear implementation TF TensorFlow Page 13. 1 Chapter 1 … The method used to generate text includes deep neural network (DNN) and applied on a different application such as chatbot, text translation, etc. In our technique, we describe DNN and how to using it …

Fighting AI with AI: Fake Speech Detection Using Deep Learning
H Malik, R Changalvala – … : 2019 AES International Conference on Audio …, 2019 – aes.org
… Home humanoid robots , navigation systems , video games , [ 6 ] , Apple Siri [ 7 ] , Microsoft Cortana [ 8 ] , and so on , chatbots , and accessibility … deep learning model for audio classi cation is built The multi – speaker and speaker encoder models are using TensorFlow in Python …

Datamorphic Testing: A Methodology for Testing AI Applications
H Zhu, D Liu, I Bayley, R Harrison… – arXiv preprint arXiv …, 2019 – arxiv.org
… A typical example is online learning, such as chat-bots, which learn from conversations with online users and apply what is learnt to future conversations. For such online learning applications, it is difficult (if not impossible) to know the quality of training data in advance …

Friend, collaborator, student, manager: How design of an ai-driven game level editor affects creators
M Guzdial, N Liao, J Chen, SY Chen, S Shah… – Proceedings of the …, 2019 – dl.acm.org
… a tool, it is still not frequently given a partner role, for example being tasked with question-answering in a visual chatbot [12 … LSTM: This approach is a Long Short Term Memory Recurrent Neural Network (LSTM) from Summerville and Mateas [46], recreated in Tensorflow …

Discerning cyber threatening incidents from ordinary events using sentiment analysis and logistic regression
MD Ibrishimova, KF Li – Security and Privacy – Wiley Online Library
… In particular, we use a regression model for classification tasks as described in TensorFlow documentation.21 Since we are dealing with two distinct binary classes, namely an event and an incident, then we need this particular model with a classification threshold in order to …

Neural Conversation Generation with Auxiliary Emotional Supervised Models
G Zhou, Y Fang, Y Peng, J Lu – ACM Transactions on Asian and Low …, 2019 – dl.acm.org
… These efforts are meaningful; however, a chat bot is still unable to communicate with a user naturally when it lacks of the emotion perception and interaction … We implemented the model on the Tensorflow platform4 according to the following training settings for each model …

Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer
H Zhu, F Nan, Z Wang, R Nallapati, B Xiang – arXiv preprint arXiv …, 2019 – arxiv.org
… These tasks are useful for building a chatbot, aiming to generate or retrieve a good response ac- cording to the context of the conversation, while this work aims to recover the structure of … 8This paper uses ELMo embedding from Tensorflow Hubs https://tfhub.dev/google/elmo/2 …

Product-aware answer generation in e-commerce question-answering
S Gao, Z Ren, Y Zhao, D Zhao, D Yin… – Proceedings of the Twelfth …, 2019 – dl.acm.org
Page 1. Product-Aware Answer Generation in E-Commerce Question-Answering Shen Gao? ICST, Peking University shengao@pku.edu.cn Zhaochun Ren JD.com renzhaochun@jd.com Yihong Zhao JD.com ericzhao@jd.com …

Building Data Careers
R Rawlings-Goss – Data Science Careers, Training, and Hiring, 2019 – Springer
… Social Networks: Twitter Curated Timelines, Facebook chatbots, Pinterest Content Discovery, Match.com Predicting certain match … Additional skills/tools: Python, Machine Learning, Deep Learning, TensorFlow, Neural Networks, Computer Science, and Computational Linguistics …

Cloud programming simplified: A berkeley view on serverless computing
E Jonas, J Schleier-Smith, V Sreekanti, CC Tsai… – arXiv preprint arXiv …, 2019 – arxiv.org
… 17% Integrating 3rd Party Services 16% Internal tooling 8% Chat bots eg, Alexa Skills (SDK for Alexa AI Assistant) 6% Internet of Things Table 4: Popularity of serverless computing use cases according to a 2018 survey [22] …

Artificial Intelligence in Practice: How 50 Successful Companies Used AI and Machine Learning to Solve Problems
B Marr – 2019 – books.google.com
… to understand and reproduce written text or spoken words, which we call natural language processing and see in website chatbots or home … ALIBABA Alibaba also has its own AI-powered chatbot – Dian Xiaomi – that answers more than 350 million customer enquiries a day …

Charting the future of accountancy with AI
C GOH, G PAN, PS SEOW, BHZ LEE, M YONG – 2019 – ink.library.smu.edu.sg
… Scenario Planner ~ · Ability to determine likely scenarios, the triggers for each sce- nario, and the business impact of each scenario · Ability to run several models simultaneously · Technical Competencies: Power BI/Visualisation, Python, TensorFlow Page 22. 13 …

Hacking Neural Networks: A Short Introduction
M Kissner – arXiv preprint arXiv:1911.07658, 2019 – arxiv.org
Page 1. Hacking Neural Networks: A Short Introduction Michael Kissner v1.02 (November 18, 2019) Abstract A large chunk of research on the security issues of neural net- works is focused on adversarial attacks. However, there …

Minerva and Virgil-a program (Notes on Karpathy et al. 2014)
C Akmut – 2019 – hal.archives-ouvertes.fr
… mention using “Downpour Stochastic Gradient Descent”, to optimize their models, of which Ruder writes : “Downpour SGD is an asynchronous variant of SGD that was used by Dean et al. in their DistBelief framework (predecessor to TensorFlow)”42. Both reference Dean et al …

Building Digital Experience Platforms
SK Shivakumar, S Sethii – Springer
… 106 Steps to Build AI Automation Model ….. 106 Chatbot Case Study ….. 107 Enterprise Search Engine ….. 109 …

A review of deep learning based speech synthesis
Y Ning, S He, Z Wu, C Xing, LJ Zhang – Applied Sciences, 2019 – mdpi.com
… Recent advances on speech synthesis are overwhelmingly contributed by deep learning or even end-to-end techniques which have been utilized to enhance a wide range of application scenarios such as intelligent speech interaction, chatbot or conversational artificial …

Hello? Who Am I Talking to? A Shallow CNN Approach for Human vs. Bot Speech Classification
A Lieto, D Moro, F Devoti, C Parera… – ICASSP 2019-2019 …, 2019 – ieeexplore.ieee.org
… The CNN is built using Keras [23] run- ning on top of TensorFlow [24] … [2] A. Linn, “Like a phone call: Xiaoice, microsofts social chatbot in china, makes breakthrough in natural conversation,” https://blogs.microsoft.com/ai/ xiaoice-full-duplex/, April 2018, Last accessed: July 2018 …

A deep cascade model for multi-document reading comprehension
M Yan, J Xia, C Wu, B Bi, Z Zhao, J Zhang… – Proceedings of the …, 2019 – wvvw.aaai.org
… On-line Environment We also apply our model to the Al- iMe Chatbot system, which is an intelligent online assistant designed for creating an innovative online shopping expe- rience in e … All models are trained on Nvidia Tesla M40 GPU with Cudnn LSTM cell in Tensorflow 1.3 …

Multimodal Analysis and Estimation of Intimate Self-Disclosure
M Soleymani, K Stefanov, SH Kang, J Ondras… – 2019 International …, 2019 – dl.acm.org
… ICMI ’19, October 14–18, 2019, Suzhou, China achieved F1-score of 0.67 for recognizing disclosure consid- ering both users and chatbot’s utterances … 1https://github.com/tensorflow/ models/tree/master/research/audioset to a 128-dimensional embedding …

User intent prediction in information-seeking conversations
C Qu, L Yang, WB Croft, Y Zhang, JR Trippas… – Proceedings of the 2019 …, 2019 – dl.acm.org
Page 1. User Intent Prediction in Information-seeking Conversations Chen Qu University of Massachusetts Amherst chenqu@cs.umass.edu Liu Yang University of Massachusetts Amherst lyang@cs.umass.edu W. Bruce Croft …

Methods for Classification of Consumer Review into The Ones Written Before or After The Product Purchase
MM Hasan – 2019 – search.proquest.com
… such as online product recommendations or fraud detection [20, 23]. Sometimes, a customer service chatbot is integrated into e-commerce websites to assist their customer for shopping [8]. Customer relationship management (CRM) systems use …

AI Student Advisor FYP18024 Final Report
KC Lum, CL Kiu, CC Wing, WC Yiu – i.cs.hku.hk
… Then the user can use the provided chatbot to give some suggestions on the service. Finally, the user can … agile development approach well. Tensorflow together with Cloud Machine Learning Engine in Google Cloud Platform are used in this project …

Exploring Pervasive Making Using Generative Modeling and Speech Input
R Ballagas, J Wei, M Vankipuram, Z Li… – IEEE Pervasive …, 2019 – ieeexplore.ieee.org
… arXiv:1411.1784. 5. M. Abadi et al., “TensorFlow: A system for large-scale machine learning,” in Proc. 12th USENIX Symp … 8. J. Mayo, Programming the Microsoft Bot Framework: A Multiplatform Approach to Building Chatbots. Redmond, WA, USA: Microsoft Press, 2017 …

A New Organizational Chassis for Artificial Intelligence-Exploring Organizational Readiness Factors
L Pumplun, C Tauchert, M Heidt – Proceedings of the Twenty …, 2019 – aisel.aisnet.org
… easiest explanation for this apparent hesitance are prominent exam- ples of AI projects gone awry, like the Microsoft Chatbot Tay tweeting … both, the professional qualifications and programming knowledge in the field of AI (eg, utilizing libraries such as TensorFlow, PyTorch or …

A Study on Automatic Generation of Chinese Discharge Summary
Y Xiong, B Tang, Q Chen, X Wang… – 2019 IEEE International …, 2019 – ieeexplore.ieee.org
… Others High blood pressure 1,024 240 Nothing Others 662 340 2 https://github.com/ tensorflow 3 https://biendata.com/competition/CCKS2017 2/data/ 4 https://github.com/ abisee/pointer-generator Page 5. VI. DISCUSSION sentences …

Humour-in-the-loop: Improvised Theatre with Interactive Machine Learning Systems
KW Mathewson – 2019 – era.library.ualberta.ca
… SmarterChild 2001 . . . . . 185 B.6 The Rise of Corporate Bots . . . . . 185 B.7 Social Bots, Cleverbot, Mitsuku . . . . . 186 B.8 Chatbot Competitions . . . . . 187 B.9 The Future of Chatbots . . . . . 188 …

Mutual Correlation Attentive Factors in Dyadic Fusion Networks for Speech Emotion Recognition
Y Gu, X Lyu, W Sun, W Li, S Chen, X Li… – Proceedings of the 27th …, 2019 – dl.acm.org
… Precisely detecting human emotion is useful in many real-world applications such as recommender systems and chatbots. Even … 5]. 4.3 Implementation We implement the model with Keras [28] and Tensorflow [29] backend …

Assessment of Deep Learning Methodology for Self-Organizing 5G Networks
MZ Asghar, M Abbas, K Zeeshan, P Kotilainen… – Applied Sciences, 2019 – mdpi.com
… the market, Google has brought out Google Now, Amazon has Alexa, Facebook has virtual assistants or Chat bot, and Microsoft … The most commonly used deep learning frameworks are. TensorFlow: TensorFlow, developed by Google, is the most common deep learning library …

Utility Learning, Non-Markovian Planning, and Task-Oriented Programming Language
N Shukla – 2019 – escholarship.org
… 89 Appendix B: Example Implementation of a Chat-Bot … 448-457). Shukla, N., He, Y., Chen, F., & Zhu, SC (2017, October). Machine learning with TensorFlow. Manning Publications Co. Shukla, N. (2018). Dialogue manager programming language …

Deep Contextualized Pairwise Semantic Similarity for Arabic Language Questions
H Al-Bataineh, W Farhan, A Mustafa, H Seelawi… – arXiv preprint arXiv …, 2019 – arxiv.org
… Digital assistants like chat-bots or voice assistants also need such NLU model to map the user question to already indexed answered questions … All models, except for the Focus layer, are implemented with TensorFlow 1.12 [35] which is implemented using Pytorch 1.1 [36] …

Intelligent Systems: Advances in Biometric Systems, Soft Computing, Image Processing, and Data Analytics
CL Chowdhary – 2019 – taylorfrancis.com
… include refined artificial intelligence (AI)-based software systems, like expert systems, chatbots, and other … Chatbot using the neural network model gives extremely good outcomes in delivering a human … platform offered is Python and with the help of the TensorFlow library, the …

Python machine learning blueprints: put your machine learning concepts to the test by developing real-world smart projects
A Combs, M Roman – 2019 – books.google.com
… Table of Contents Sequence-to-sequence modeling for chatbots Summary 309 320 Chapter 10: Build a … to create a custom news feed using frameworks such as scikit-learn, TensorFlow, and Keras … Following this, you’ll learn how to build an advanced chatbot, and scale things up …

From rituals to magic: Interactive art and HCI of the past, present, and future
M Jeon, R Fiebrink, EA Edmonds, D Herath – International Journal of …, 2019 – Elsevier
Skip to main content Skip to article …

Glaucoma diagnosis using transfer learning methods
A Singh, S Sengupta… – Applications of Machine …, 2019 – spiedigitallibrary.org
… It has been successful in various tasks such as image classification, semantic analysis of texts, virtual assistants, chatbots, object detection, human pose … S., Goodfellow, I., Harp, A., Irving, G., Isard, M., Jia, Y., Jozefowicz, R., Kaiser, L., Kudlur, M., et al., “TensorFlow: Large-Scale …

Deep Reinforcement Learning for Text and Speech
U Kamath, J Liu, J Whitaker – Deep Learning for NLP and Speech …, 2019 – Springer
In this chapter, we investigate deep reinforcement learning for text and speech applications. Reinforcement learning is a branch of machine learning that deals with how agents learn a set of actions…

The speech interface as an attack surface: an overview
M Bispham, I Agrafiotis, M Goldsmith – International Journal On …, 2019 – ora.ox.ac.uk
… Current task-based dialogue systems have some similarity with chatbots in that they are often anthropomorphosised, with systems being given the persona of a friendly digital assistant in … [49] adversarial learning speech recognition in speech transcription system (TensorFlow) …

Health beyond the carbon barrier
A Farman – 2019 – medanthrotheory.org
… All of this is processed by algorithms and AI software (versions of chatbots) that are meant eventually to generate self-aware … hundreds of her own exchanges into a neural net her company had constructed using a recently released open- source Google AI platform, TensorFlow …

Diverse Decoding for Abstractive Document Summarization
XW Han, HT Zheng, JY Chen, CZ Zhao – Applied Sciences, 2019 – mdpi.com
… Automatic summarization based on query will help users find their content of interest as soon as possible. There are also many other research fields like data mining, chat bot, narrative generation, etc., having a strong connection to the summarization task. Abstract …

Expanding the Text Classification Toolbox with Cross-Lingual Embeddings
M M’hamdi, R West, A Hossmann, M Baeriswyl… – arXiv preprint arXiv …, 2019 – arxiv.org
Page 1. Expanding the Text Classification Toolbox with Cross-Lingual Embeddings Meryem M’hamdi‡?, Robert West†, Andreea Hossmann+, Michael Baeriswyl+ and Claudiu Musat+ † Information Sciences Institute & Computer …

Bridging the Gap Between Research and Production with CODE
Y Jin, D Wanvarie, PTV Le – … on Knowledge Discovery and Data Mining, 2019 – Springer
… For example, the business may require that a chatbot to give a meaningful response 95% of the time while the state-of-the-art may only achieve 80% on a similar benchmark … Modi, AN, et al.: TFX: a tensorflow-based production-scale machine learning platform …

Inflection of Maltese using Neural Networks
G Schneeberger – 2019 – herzstein.dev
… step-by-step recursively as well. This architecture has since been used for many different problems, such as for instance translation and chatbots, highlighting its versatility. Since words are basically sequences of characters this can be used to model a lemma …

Machine Learning at the Edge
M Levy – Software Engineering for Embedded Systems, 2019 – Elsevier
… Today there are chatbots able to converse on various topics that might be indistinguishable from a human. In some specific domains machines have even surpassed human performance, but only on a well-trained, given task (eg, image classification, translation) …

Curiosity-driven algorithm for reinforcement learning
V Tsybulko – 2019 – jyx.jyu.fi
… It offers high- level tools to create and experiment with deep neural net- works on top of TensorFlow, Theano or Microsoft Cognitive Toolkit … Among them Matplotlib, NumPy, OpenCV, TensorFlow and many others. Aside from this, as the shortest road is the …

An adversarial learning framework for a persona-based multi-turn dialogue model
O Olabiyi, A Khazane, A Salimov, ET Mueller – arXiv preprint arXiv …, 2019 – arxiv.org
… (2018) with accDth adv = 0.99 and accGth = 0.75. The model is trained end-to-end using the stochastic gradient descent algorithm. Finally, the model is implemented, trained, and evaluated using the TensorFlow deep learning framework. 3.2 Model Inference …

Fuzziness Detection in Thai Law Texts Using Text Classification
C Sangkeettrakarn, C Haruechaiyasak… – 2019 16th …, 2019 – ieeexplore.ieee.org
… vI.FUTURE REsEARCH There are several tasNs planned to fulfill the ultimate goal to build an expert system or chatbot on the Nnowledge of a legal domain as following 1) To determine a fuzziness degree of words … [8] TensorFlow. Ivector Representations of Words,” [Online] …

DeepCompare: Visual and Interactive Comparison of Deep Learning Model Performance
S Murugesan, S Malik, F Du, E Koh… – IEEE computer graphics …, 2019 – ieeexplore.ieee.org
… Many machine learning frame- works like Tensorflow,19 and scikit-learn provide summary statistics such as accuracy, precision, recall as … Answering Product Questions For the second dataset, the practitioners were interested in creating a chatbot for answering questions about …

Letting the computers take over: using AI to solve marketing problems
G Overgoor, M Chica, W Rand… – California …, 2019 – journals.sagepub.com
Artificial intelligence (AI) has proven to be useful in many applications from automating cars to providing customer service responses. However, though many firms want to take advantage of AI to im…

Could deep learning in neural networks improve the QSAR models?
G Gini, F Zanoli, A Gamba, G Raitano… – SAR and QSAR in …, 2019 – Taylor & Francis
… Text analysis and classification are usually applied to natural language documents, and deep learning has been used to find patterns among names, entities and words inside the document as exemplified by the commercial software tools Google Assistant and Amazon Chatbot …

Automatic Documentation of Results During Online Architectural Meetings
O Klymenko – wwwmatthes.in.tum.de
… The tests were performed in a context of a use case for a simple chatbot for customer service … One of the most common applica- tions of NLU is chatbots. Currently, there exists a wide range of NLU services and choosing the right one can be a complicated task …

Building Digital Experience Platforms: A Guide to Developing Next-Generation Enterprise Applications
SK Shivakumar, S Sethii – 2019 – books.google.com
… 106 Steps to Build AI Automation Model….. 106 Chatbot Case Study….. 107 Enterprise Search Engine …

Explaining black-box models in the context of Natural Language Processing
T Cerquitelli, S Greco – webthesis.biblio.polito.it
… and discarding cv on job applications, or by analyzing the sentiment for marketing purpose, or by un- derstand query on the search engine or again by creating chatbot that make these … Some of the most famous libraries are Tensorflow, PyTorch, Caffe, Keras and many others …

Evolution and control of artificial superintelligence (ASI): a management perspective
K Narain, A Swami, A Srivastava… – Journal of Advances in …, 2019 – emerald.com
… Recently, a popular Chinese app removed two experimental chatbots, which were apparently critical of the government. In 2016, Microsoft’s AI chatbot Tay had to be taken offline after it made racist and inflammatory comments …

Rotational Unit of Memory: A Novel Representation Unit for RNNs with Scalable Applications
R Dangovski, L Jing, P Nakov, M Tatalovi?… – Transactions of the …, 2019 – MIT Press
… RNNs), which have become a standard tool for addressing a number of tasks ranging from language modeling, part-of-speech tagging and named entity recognition to neural machine translation, text summarization, question answering, and building chatbots/ dialog systems …

Privacy accounting and quality control in the sage differentially private ML platform
M Lécuyer, R Spahn, K Vodrahalli… – Proceedings of the 27th …, 2019 – dl.acm.org
… but also to train various models, such as an auto-complete model, a chat bot, or a recommendation model … We present Sage, an ML platform based on Google’s TensorFlow-Extended (TFX) that uses dif- ferential privacy (DP) to bound the cumulative exposure of in- dividual …

RM5151 RESEARCH METHODOLOGY AND IPR LT PC
P PO – M. TECH. INFORMATION TECHNOLOGY … – cac.annauniv.edu
Page 22. 22 PO1 PO2 PO3 PO4 PO5 PO6 CO1 2 1 1 3 1 1 CO2 3 1 2 3 2 2 CO3 3 1 2 3 2 2 CO4 2 2 2 3 2 2 CO5 2 3 2 2 1 2 CO6 3 2 3 2 1 2 RM5151 RESEARCH METHODOLOGY AND IPR LT PC 2 0 0 2 OBJECTIVES: To …

Entry-Level Data Science Work Practices and Environments
B Hefley, J Parker, S Chatterjee – Proceedings of the International …, 2019 – csce.ucmss.com
… 11.45 Neural Networks 11.45 Deep Learning 9.64 Graph/Network Analysis 9.64 Web Page/Screen Scraping 9.04 Chatbots 1.81 Robotic … 44.51 NumPy 43.90 ggplot 34.15 Scikit-learn 27.44 matplotlib 24.39 SciPy 23.17 keras 15.24 Statsmodels 14.63 TensorFlow 14.02 Python’s …

Fully Convolutional CaptionNet: Siamese Difference Captioning Attention Model
A Oluwasanmi, E Frimpong, MU Aftab… – IEEE …, 2019 – ieeexplore.ieee.org
… in cer- tain tasks [3]. Mostly, tasks such as image understanding, expert systems, speech recognition, machine vision, chat- bots, languages, robotics … Trained on a NVIDIA GeForce GTX 1080 Ti graphics card, the model trained on Keras and Tensorflow libraries for 11 hours …

ML health monitor: taking the pulse of machine learning algorithms in production
S Ghanta, S Subramanian, L Khermosh… – Applications of …, 2019 – spiedigitallibrary.org
SPIE Digital Library Proceedings.

Keras to Kubernetes
D Rao – 2019 – Wiley Online Library
… 120 Welcome to TensorFlow and Keras 121 … I show examples of building ML models with code (in Python) and show examples of tools that automate this process. I also show an example of building an image classifier model using the Keras library and TensorFlow framework …

Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence
J Krohn, G Beyleveld, A Bassens – 2019 – books.google.com
… to understand what deep learning is and why it powers almost every automated application today, from chatbots and voice … Machine Vision The Neocognitron LeNet-5 The Traditional Machine Learning Approach ImageNet and the ILSVRC AlexNet TensorFlow Playground Quick …

Human-aided artificial intelligence: Or, how to run large computations in human brains? Toward a media sociology of machine learning
R Mühlhoff – New Media & Society, 2019 – journals.sagepub.com
Today, artificial intelligence (AI), especially machine learning, is structurally dependent on human participation. Technologies such as deep learning (DL) leverage networked media infrastructures …

MLPXSS: An Integrated XSS-Based Attack Detection Scheme in Web Applications Using Multilayer Perceptron Technique
FMM Mokbal, W Dan, A Imran, L Jiuchuan… – IEEE …, 2019 – ieeexplore.ieee.org
… I. INTRODUCTION Web technology has been increased exponentially in daily volume and interactions involving web-based services, such as self-driving finance in web banking, Chatbots /AI assis- tants and recommendation engines in e-commerce, social networking sites …

Generative Adversarial Networks in Text Generation
Z Wang – 2019 – diva-portal.org
… about the publication faster. The summary- generation technique can be used in chatbots as a preprocessing for the long conversation, which helps AI understands the context better. 1.2 Research Question The primary purpose …

Using unsupervised classification with multiple LDA derived models for text generation based on noisy and sensitive data
L Ljungberg – 2019 – diva-portal.org
… 2.5.1 Machine Conversation This area of research is focused on finding and generating a proper, contextual response to a given query in a conversation-like manner. Applications for this range from chatbots to digital assistants of different kinds [18] …

Passive Diagnosis of Mental Health Disorders Incorporating an Empathic Dialogue System
F Delahunty, M Arcan, R Johansson – 2019 – thesiscommons.org
… alone and already experiments with automated data-driven replies. Despite the limitations mentioned above, the demand for mental health support is 2Hereafter referred to as simply anxiety. 3Commonly known as chatbots …

Gastroenterology Meets Machine Learning: Status Quo and Quo Vadis
A Adadi, S Adadi, M Berrada – Advances in bioinformatics, 2019 – hindawi.com
… In medicine, AI is essentially considered as a decision-support systems. In addition to ML techniques, AI provides other tools including robotic surgical systems, conversational AI (chatbots), and human brain interfaces that speed up the transition to the digital health …

An Educational Programming Environment for Teaching the Principles of Machine Learning using LEGO MINDSTORMS
L Peters – 2019 – researchgate.net
… The projects range from games to chatbots to predicting who survived the sinking of the Titanic. Almost all of the … 1https://www.tensorflow.org/js 2a roundworm 3a connectome is a comprehensive map of neural connections in the brain …

Mobile Technology
GF Xu, JX Guo – New Top Technologies Every Librarian Needs to …, 2019 – books.google.com
Page 254. Mobile Technology Gordon F. Xu and Jin Xiu Guo The most recognized definition of mobile technology is “technology used for cellu- lar communication.” Broadly speaking, we can define mobile technology as any …

Data Science Careers, Training, and Hiring
R Rawlings-Goss – 2019 – Springer
… in the future. Common Uses • Social Networks: Twitter Curated Timelines, Facebook chatbots, Pinterest Content Discovery, Match.com Predicting certain match preferences for better compatibility. • Finance and E-commerce …

Text Generation for Imbalanced Text Classification
S Akkaradamrongrat, P Kachamas… – … Joint Conference on …, 2019 – ieeexplore.ieee.org
… Text generation can be applied to many fields such as chatbots, lyric generation, question answering, machine translation, image caption, and storytelling … Cutkum: Thai Word-Segmentation with LSTM in Tensorflow. Retrieved from https://github.com/pucktada/cutkum 186

Strengthening the US AI Workforce
R Heston, Z Arnold – 2019 – cset.georgetown.edu
… For example, AI chatbot startup Zoom.ai saw its US-based applications rise from virtually zero to a third of total engineering applicants.36 This trend has continued in 2019.37 The US immigration system has been particularly unfriendly toward prospective foreign-born …

Artificial Intelligence Basics
T Taulli – 2019 – Springer
… But NLP systems, such as chatbots, have also become critical in the corporate world … This chapter will also cover the various tools like Python, TensorFlow, and PyTorch … A user could type in questions, and ELIZA would provide counsel (this was the first example of a chatbot) …

The AI-Powered Workplace
M Platforms, R Ashri – Springer
… In Chapters 8 and 9 we take a deep dive into conversational collaboration platforms, their components, the considerations that come into play, and what it means to build chatbots, or better still, conversational applications. We …

Benefiting from multitask learning to improve single image super-resolution
MS Rad, B Bozorgtabar, C Musat, UV Marti, M Basler… – Neurocomputing, 2019 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Artificial Intelligence in the legal sector. A comparative analysis of expert and AI approaches to predicting court decisions
N Kaliazina – 2019 – pdfs.semanticscholar.org
… thus, lawyers are able to reduce contract review time by focusing only on the crucial contract parts. Another branch of screening solutions is usually presented in the form of chatbots that to summarise it to a brief overview which could be understood by non-professionals …

Hotel Review Sentiment Analysis using Natural Language Processing
A Lykesas – 2019 – ikee.lib.auth.gr
… Its true value derives from the use cases, for example information retrieval (google search that finds relevant and similar results), machine translation, speech recognition, text summarization and categorization, chat bots that are able to understand the intent of the conversation …

AI and Interpretation
EE AI, ATH Robot – Crossroads, 2019 – dl.acm.org
Page 1. Crossroads The ACM Magazine for Students SPRING 2019 VOL.25 • NO.3 XRDS.ACM.ORG Explaining Explainable AI That’s Not Fair! Robot, All Too Human AI and Interpretation Page 2. The first authoritative resource on the dominant paradigm for new computer …

Neural Networks with Keras Cookbook: Over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots
VK Ayyadevara – 2019 – books.google.com
… Chapter 13: Sequence-to-Sequence Learning Introduction Returning sequences of outputs from a network Building a chatbot Getting ready How to do it… Intent extraction Putting it all together Machine translation Getting ready How to do it …

Knowledge-based Conversational Search
S Vakulenko – arXiv preprint arXiv:1912.06859, 2019 – arxiv.org
… Sophia Keyner, Vadim Savenkov, and Svitlana Vakulenko. Open data chatbot. In The Semantic Web: ESWC 2019 Satellite Events, Portorož, Slovenia, 2019 • Svitlana Vakulenko, Ilya Markov, and Maarten de Rijke. Conversational exploratory search via interactive storytelling …

“Where is My Parcel?” Fast and Efficient Classifiers to Detect User Intent in Natural Language
C Nicolaou, A Vaidya, F Dzogang… – … on Social Networks …, 2019 – ieeexplore.ieee.org
… AI-powered chatbots working alongside Human agents can help accelerate customer service and provide increased functionality … [14] M. Abadi et al., “TensorFlow: Large-scale machine learning on heterogeneous systems,” 2015, software available from tensorflow.org. [Online] …

Computational Analysis of Humour
V Ahuja – 2019 – pdfs.semanticscholar.org
… the past 4-5 years, chat-bots and artificial and virtual assistants have grown larger and their capabilities have been improved and grown complex. One of the most ambitious and useful appli- cation of computer humour is to include comical elements in chatbots, virtual assistants …

Reinforcement Learning for Personalized Dialogue Management
F Hengst, M Hoogendoorn, F van Harmelen… – arXiv preprint arXiv …, 2019 – arxiv.org
… 5.4 Environment and Hyperparame- ters All experiments were run on Intel Xeon Silver 4110 Pro- cessors using Python version 2.7.9, TensorFlow version 1.12.0, NumPy version 1.15.4 and SciPy version 1.2.0. Ten different random seeds ranging from zero to ten were used …

Future Renaissance
C Luginbuhl – 2019 – openresearch.ocadu.ca
… collaboration. ELIZA (Weizenbaum) was the first chatbot to achieve broad exposure upon its release in 1966 … 2.5 Information and Surveillance As of today, chat bots and virtual assistants remain poor imitations of human beings. Virtual …

Digital Pathology: The Time Is Now to Bridge the Gap between Medicine and Technological Singularity
CM Sergi – Interactive Multimedia, 2019 – intechopen.com
Digitalization of the imaging in radiology is a reality in several healthcare institutions worldwide. The challenges of filing, confidentiality, and manipulation have been brilliantly solved in radiology. However, digitalization of hematoxylin- and eosin-stained routine histological slides …

Reinforcement Learning for Personalized Dialogue Management
F den Hengst, M Hoogendoorn… – IEEE/WIC/ACM …, 2019 – dl.acm.org
… 5.4 Environment and Hyperparameters All experiments were run on Intel Xeon Silver 4110 Processors using Python version 2.7.9, TensorFlow version 1.12.0, NumPy version 1.15.4 and SciPy version 1.2.0. Ten different random seeds ranging from zero to ten were used …

Text analytics with Python: a practitioner’s guide to natural language processing
D Sarkar – 2019 – books.google.com
… xv Page 15. About the Technical Reviewer Santanu Pattanayak currently works at GE, Digital as a Staff Data Scientist and is the author of the deep learning book Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python …

The Synthetic Generation
M van Doorn, S Duivestein, T Pepping – labs.sogeti.com
Page 1. 03/04 Digital Happiness The Synthetic Generation Menno van Doorn, Sander Duivestein, Thijs Pepping Page 2. 2 03/04 Digital Happiness Key takeaways Volume, value and influence A new generation is coming to the fore …

Learning to predict text quality using Generative Adversarial Networks
W Sheriff – 2019 – diva-portal.org
… ix Page 16. Page 17. Chapter 1 Introduction The ability for computers to generate text that is close to the quality of human written text has a lot of real world applications such as translation from one language to another, chat- bots, question answering, summarization etc …

Applications In Sentiment Analysis And Machine Learning For Identifying Public Health Variables Across Social Media
EM Clark – 2019 – scholarworks.uvm.edu
… Detecting spammers on twitter. In In Collaboration, Electronic messaging, Anti-Abuse and Spam Conference (CEAS. Britz, D. (2015a). Implementing a CNN for text classification in tensorflow. Britz, D. (2015b, November). Understanding convolutional neural networks for NLP …

An Improved Word Representation for Deep Learning Based NER in Indian Languages
A AP, S Mary Idicula – Information, 2019 – mdpi.com
Named Entity Recognition (NER) is the process of identifying the elementary units in a text document and classifying them into predefined categories such as person, location, organization and so forth. NER plays an important role in many Natural Language Processing applications …

Automatic Detection of Emotions and Distress in Textual Data
E Mohammadi – 2019 – caiac.ca
… characters). Figure 2.4 shows the convolution operation on textual data. Figure 2.4: The visualization of a convolution operation in text2. 2The figure was taken from http://ruder.io/text-classification-tensorflow-estimators/. 9 Page 19 …

Analysing the existing challenges in the buying process of fashion retail industry and suggesting a possible solution using artificial intelligence
P Banerjee – 2019 – theseus.fi
Page 1. Saimaa University of Applied Sciences Business Administration, Lappeenranta Master’s degree Programme International Business Management Banerjee Priyanka Analysing the existing challenges in the Buying process of Fashion Retail industry and suggest …

Umeå 2019
L Holm, E Billing – 2019 – swecog.se
Page 1. PROCEEDINGS OF THE 15TH SWECOG CONFERENCE Umeå 2019 7 – 8 November Editors Linus Holm Erik Billing 1 Page 2. Editors: Linus Holm, Umeå University, linus.holm@umu. se Erik Billing, University of Skövde, erik.billing@his.se www.swecog.se …

Proceedings of the 15th SweCog Conference
L Holm, E Billing – SweCog 2019, the 15th SweCog conference …, 2019 – diva-portal.org
Page 1. PROCEEDINGS OF THE 15TH SWECOG CONFERENCE Umeå 2019 7 – 8 November Editors Linus Holm Erik Billing 1 Page 2. Editors: Linus Holm, Umeå University, linus.holm@umu. se Erik Billing, University of Skövde, erik.billing@his.se www.swecog.se …

Exploring Cyber-Physical Systems
MU Mohammed – 2019 – search.proquest.com
… Technologies like Amazon Alexa services, NVIDIA Jetson boards, TensorFlow, OpenCV, NodeJS were heavily employed in our various projects throughout this thesis … TensorFlow machine learning library to train and develop image recognition systems to guide the …

EXPLOITING COMMON LAYERS AMONG HETEROGENEOUS CNNs IN AUTOMOTIVE VISION SYSTEMS
IFG MANSOUR – 2019 – search.proquest.com
… In recent years we witnessed massive improvements in the field of deep learning, neural networks, and especially in the sector of computer vision, speech recognition, character recognition, and chatbots, etc. With the extraordinary increase in the amount of …

Personalized Recommendation: Neural Architectures and Beyond
S Zhang – 2019 – unsworks.unsw.edu.au
… They offer a wide range of applications in object detection, person re-identification, machine translation, au- tonomous driving, speech recognition, chat-bot, etc. Neural networks can process real-world complex input data and are scalable to large-scale datasets. With enough …

Artificial intelligence: Ethics, governance and policy challenges
A Renda – CEPS Task Force Report, 2019 – papers.ssrn.com
… These tools are made available today by large corporations (Google’s TensorFlow, Microsoft’s Control Toolkit, and many other AI tools are indeed released on a free and open-source basis) and operate on common computer hardware …

Artificial intelligence in italian manufacturing: growth potentials and criticalities
P Inì – 2019 – tesi.cab.unipd.it
Page 1. i UNIVERSITA’ DEGLI STUDI DI PADOVA DIPARTIMENTO DI SCIENZE ECONOMICHE ED AZIENDALI “M.FANNO” CORSO DI LAUREA MAGISTRALE IN BUSINESS ADMINISTRATION TESI DI LAUREA “ARTIFICIAL …

Artificial Intelligence Ethics, governance and policy challenges. Report of a CEPS Task Force, February 2019
A Renda – 2019 – aei.pitt.edu
… These tools are made available today by large corporations (Google’s TensorFlow, Microsoft’s Control Toolkit, and many other AI tools are indeed released on a free and open-source basis) and operate on common computer hardware …

Emotional Conversation Generation Based on a Bayesian Deep Neural Network
X Sun, J Li, X Wei, C Li, J Tao – ACM Transactions on Information …, 2019 – dl.acm.org
… In application scenarios such as chatbots and virtual personal assistants, to give the machine a more natural and friendly ability to communicate with humans, the machine must be able to understand and express emotions …

Scaling Computer Science Education Through Live Coding and Streaming Systems
HC Chen – 2019 – escholarship.org
… b1pKf3 Ruby Essentials for Beginners Ruby E,T fYtjsB C# programming tutorial – Step by Step C# I,S 5sLQ5V Frequency Analysis with FFT JS, p5.js E,Q,W QJQiKM Tensorflow for Seq2seq Models Python J KGx9V6 MongoDB Quickstart with PyCharm Python I,Q,S,W …

The Open Digital Archaeology Textbook
S Graham, N Gupta, M Carter, B Compton, J Smith… – 2019 – o-date.github.io
… previously determined values. We will in this chapter discuss image recognition using the neural network model trained by Google, the Inception3 model, which we will query using the Tensorflow package. Agent based simulation …

A multimodal approach to sarcasm detection on social media
D Das – 2019 – researchgate.net
… of sarcasm Page 89 7.3 Top five objects that were closest to the gaze center points Page 90 8.1 Sample positive and negative reviews, and replies from chatbot-based auto-replier sys- tem. Page 94 8.2 Inappropriate response from auto-replier for a multimodal sarcastic review …

An Improved Approach of Intention Discovery with Machine Learning for POMDP-based Dialogue Management
RR Raval – 2019 – scholar.uwindsor.ca
Page 1. University of Windsor Scholarship at UWindsor Electronic Theses and Dissertations Theses, Dissertations, and Major Papers 2019 An Improved Approach of Intention Discovery with Machine Learning for POMDP-based Dialogue Management …

A strategic perspective on the commercialization of artificial intelligence: a socio-technical analysis
S Ray Barua – 2019 – dspace.mit.edu
Page 1. A Strategic Perspective on the Commercialization of Artificial Intelligence: A socio-technical analysis by Siddhartha Ray Barua BE (Information Science & Engineering), MSRIT (2007) PGDIM (Industrial Management), NITIE (2012) …

Exploring automatic approaches for sentiment lexicon creation for Norwegian
KK Amundsen – 2019 – duo.uio.no
… Another application of sentiment analysis is in the field of chatbots and other systems used for communication (Turney & Littman, 2003). If the system is able to determine whether the incoming text is positive or negative, it will be able to provide a more appropriate answer …

Administering Artificial Intelligence
A Solow-Niederman – Available at SSRN, 2019 – papers.ssrn.com
… such as care robots or driverless cars) or software systems (such as medical diagnosis systems, intelligent personal assistants, or algorithmic chat bots)”) … See, eg, See, eg, Braden Hancock et al., Learning from Dialogue after Deployment: Feed Yourself, Chatbot!, ARXIV, (Jan …

The Disruptions of 5G on Data-driven Technologies and Applications
D Loghin, S Cai, G Chen, TTA Dinh, F Fan… – arXiv preprint arXiv …, 2019 – arxiv.org
Page 1. arXiv:1909.08096v1 [cs.NI] 6 Sep 2019 1 The Disruptions of 5G on Data-driven Technologies and Applications Dumitrel Loghin, Member, IEEE, Shaofeng Cai, Gang Chen, Member, IEEE, Tien Tuan Anh Dinh, Feiyi Fan …

Judging machines: philosophical aspects of deep learning
A Schubbach – Synthese, 2019 – Springer
Although machine learning has been successful in recent years and is increasingly being deployed in the sciences, enterprises or administrations, it has ra.

Encoder-Decoder Approach to Predict an Airport’s Operational Runway Configuration
R Dalmau, F Herrema – sesarju.eu
… Seq2seq models lie behind numerous applications such as neural machine translation, text summarisation, speech recognition, video captioning, online chat-bots and other cases where it is desirable to generate a sequence from another [4]. The goal of a seq2seq model is to …

AI & Quantum Computing for Finance & Insurance: Fortunes and Challenges for China and America
LDK Chuen, S Paul – 2019 – books.google.com
Page 1. Singapºre University ºf Sºcial Sciences – Wºrld Scientific : Future Economy Series : Al & Guantum Computing for Finance & Insurance Fortunes and Challenges for China and America Paul SCHULTE David LEE Kuo Chuen …

Deep Neural Network Based Iterative Self-Taught Learning on Text Mining
X Liu – 2019 – search.proquest.com
… used for face recognition and friend recommendation. For online customer support, the chatbots understand the user queries better with pattern learned from historical online service chatting. A search engine working at the backend to improve the …

The computational case against computational literary studies
NZ Da – Critical inquiry, 2019 – journals.uchicago.edu

Ethics, governance and policy challenges
A Renda – 2019 – jura.uni-hamburg.de
… These tools are made available today by large corporations (Google’s TensorFlow, Microsoft’s Control Toolkit, and many other AI tools are indeed released on a free and open-source basis) and operate on common computer hardware …

Utility of Artificial Intelligence and Machine Learning in Cybersecurity
FL Loaiza, JD Birdwell, GL Kennedy, D Visser – 2019 – researchgate.net
Page 1. INSTITUTE FOR DEFENSE ANALYSES Utility of Artificial Intelligence and Machine Learning in Cybersecurity Francisco L. Loaiza, Project Leader June 2019 Approved for public release; distribution is unlimited. IDA Non-Standard NS D-10694 …

An overview of the NFAIS Conference: Artificial intelligence: Finding its place in research, discovery, and scholarly publishing
B Lawlor – Information Services & Use, 2019 – content.iospress.com
… He added that the model can learn the noise as well as it can learn the real information and that using concept identification rules for text helps mitigate overfitting. He suggested that those interested take a look at Google TensorFlow …

The Race for Work: Escape Automation, Transform Your Career and Thrive in the Second Machine Age
B Rapolu – 2019 – books.google.com
Page 1. The Race for Work Escape Automation, Transform Your Career and Thrive in the Second Machine Age Bhoopathi Rapolu Page 2. Copyright Copyright © 2016 by Bhoopathi Rapolu All rights reserved. Page 3. Contents …

Simple and Effective Monolingual and Code-Mixed Question Answering
V Gupta – 2019 – web2py.iiit.ac.in
… Raghavi et al. [22] also highlight the prevalence of CM in conversations with a chatbot built for users in India. Code-mixing and code-switching has recently gathered much attention from researchers [14, 66, 64, 63, 11, 31, 15] …

Neural architectures for natural language understanding
Y Tay – 2019 – dr.ntu.edu.sg
Page 1. Neural Architectures for Natural Language Understanding Tay Yi School of Computer Science & Engineering A thesis submitted to the Nanyang Technological University in partial fulfillment of the requirements for the degree of Doctor of Philosophy 2019 Page 2 …

Kazimierz Twardowski’s conception of imagination. The early-analytical example and contemporary contexts.
R Kur – aisb2019.falmouthgamesacademy …
Page 1. Kazimierz Twardowski’s conception of imagination. The early-analytical example and contemporary contexts. Rafa? Kur1 Abstract. A tribute to the early-analytical provenience of reflections on the phenomenon of the imagination is not only a historical reference …

Real-time object detection for autonomous vehicles using deep learning
R Kalliomäki – 2019 – diva-portal.org
… 30 4.2.1 TensorFlow . . . . . 30 4.2.2 Keras … AI systems are used in many everyday situations in our life’s like for example search engines, digital personal assistants, chat-bots and spam filters …

Machine Learning with R: Expert techniques for predictive modeling
B Lantz – 2019 – books.google.com
… Table of Contents Growing massive random forests with bigrf 416 A faster machine learning computing engine with H2O 416 GPU computing 418 Flexible numeric computing and machine learning with TensorFlow 419 An interface for deep learning with Keras 420 Summary …

Anemone: a Visual Semantic Graph
J Ficapal Vila – 2019 – diva-portal.org
… English. The kind of model that we use could be seen as a chatbot that is plugged to a time series autoencoder to output words that are syntactically cor- rect but also preserve the meaning of the sentence to be translated. We …

Tools to create and democratize conversational artificial intelligence
JJR Van Brummelen – 2019 – dspace.mit.edu
… Dexter simpli es conversational AI through a straight- forward chatbot development platform. IFTTT simpli es programming and Internet of … To teach programming and CT skills Dexter [69] Businesses and inex- perienced programmers Online chatbots, <n

On Architectures for Including Visual Information in Neural Language Models for Image Description
M Tanti, A Gatt, KP Camilleri – arXiv preprint arXiv:1911.03738, 2019 – arxiv.org
… There are several applications for visual grounding such as robots or chat bots that can describe what they are seeing from a camera, systems for describing images to peo- ple with impaired vision, summarising videos using short descriptions, providing extra information (in the …

ISSEP 2019
E Jasut?, S Pozdniakov – 2019 – cyprusconferences.org
… 16:00 – 17:30 Session 8 16:00 -16:25 PrivaCity. A Chatbot Game to Raise Privacy Awareness among Teenagers Erlend Bergen, Torjus H. Sæthre and Monica Divitini 16:25 – 16:50 Computer Science Problem Solving in the Escape Game “Room-X” Alexander Hacke …

Generating Facial Animation With Emotions In A Neural Text-To-Speech Pipeline
V Igeland – 2019 – diva-portal.org
Page 1. Department of Science and Technology Institutionen för teknik och naturvetenskap Linköping University Linköpings universitet gnipökrroN 47 106 nedewS ,gnipökrroN 47 106-ES LIU-ITN-TEK-A-019/048–SE Generating Facial Animation With Emotions In A Neural …

Digital Twin: Values, Challenges and Enablers
A Rasheed, O San, T Kvamsdal – arXiv preprint arXiv:1910.01719, 2019 – arxiv.org
… B. Data-driven modeling While physics based models are the workhorse at the design phase, with the abundant supply of data in a digital twin context, opensource cutting edge and easy-to-use libraries (tensorflow, torch, openAI), cheap computational infrastructure (CPU, GPU …

Deep learning algorithms with emphasis on deep convolutional neural networks for optimization of bronchodilator inhaler’s use
? ????????? – 2019 – nemertes.lis.upatras.gr
Page 1. 1 ???????????? ?????? ????? ???????????? ????????? ??? ??????????? ??????????? ?????? ???????????? ??? ??????????? ?????????? ???????????? ????????? ??????????? ??????? …

Steering AI and advanced ICTs for knowledge societies: a Rights, Openness, Access, and Multi-stakeholder Perspective
X Hu, B Neupane, LF Echaiz, P Sibal, M Rivera Lam – 2019 – books.google.com
Page 1. : UNESCO : Publishing Steering Al and Advanced ICTs for Knowledge Societies A Rights, Openness, Access, and Multi-stakeholder Perspective Page 2. Published in 2019 by the United Nations Educational, Scientific …

Transfer Learning and Attention-based Conditioning Methods for Natural Language Processing
? ????????? – 2019 – artemis.cslab.ece.ntua.gr
Page 1. National Technical University of Athens School of Electrical and Computer Engineering Department of Signals, Control, and Robotics Speech & Natural Language Processing Lab (SLP) Zografou 157 73, Athens Transfer Learning and Attention-based …

THE REAPER
MAH Janjua – 2019 – hamzajanjua.com
Page 1. THE REAPER (Autonomous Home Security Robot) By Muhammad Ameer Hamza Janjua Mariam Ajlala Bukhari Hafiza Samman Sohail Submitted to Faculty of Department of Computer Software Engineering National …

Incorporating Structural Bias into Neural Networks for Natural Language Processing
Z Yang – 2019 – ra.adm.cs.cmu.edu
… We can also build chat bots that are able to carry on conversations with humans—albeit only for a short duration before losing credibility … Suppose we would like to build models for chat bots, it is very difficult to get high quality dialogues to train a model …

CA5211 C PROGRAMMING AND DATA STRUCTURES LABORATORY LTPC
P PO – DEPARTMENT OF INFORMATION SCIENCE AND … – cac.annauniv.edu
Page 38. CA5211 C PROGRAMMING AND DATA STRUCTURES LABORATORY LTPC 0 0 4 2 OBJECTIVES: • To introduce the concepts of structured programming language. • To develop skills in design and implementation of data structures and their applications …

Folksonomy Based Question Answering System
S Ramaswamy – 2019 – utd-ir.tdl.org
Page 1. FOLKSONOMY BASED QUESTION ANSWERING SYSTEM by Swetha Ramaswamy APPROVED BY SUPERVISORY COMMITTEE: _____ Dr. Dan Moldovan, Chair …

Advances in Soft Computing: 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Guadalajara, Mexico, October 22–27, 2018 …
I Batyrshin, M de Lourdes Martínez-Villaseñor… – 2019 – books.google.com
… New Models and Training Algorithms for Artificial Neural Networks, by Juan Humberto Sossa Azuela – Intelligent Chatbots Using Google … by Salvador Venegas – Deep-Learning Principles and Their Applications in Facial Expression Recognition with TensorFlow-Keras, by Luis …

AHuman-Machine ApproachtoPreserve PrivacyinImageAnalysis CrowdsourcingTasks
S Shriram – pdfs.semanticscholar.org
… We observe that [12] is an example of combining machine learning models used in crowdsourcing workflows for privacy preservation on the task content. WearMail [40] is an email retrieval application with a conversational agent, chat- bot for user interactions …

Continual Learning with Deep Architectures
V Lomonaco – 2019 – amsdottorato.unibo.it
Page 1 …

LEAVE NO ONE BEHIND
I Leino, E Winiecki – 2019 – unipid.fi
Page 1. LEAVE NO ONE BEHIND The role of Digitalization and Frontier Technologies in Enhancing Human Rights and Contributing to the Achievement of SDGs Irene Leino and Emma Winiecki November 2019 Page 2. 1 TABLE OF CONTENTS …

Audiovisual Algorithms
A Schweikert – 2019 – nyu.edu
… On the other 23 hand, automated reasoning, which can be used to power chatbots or other artificial interactions, is … such as playlists that recommend new music based on your listening habits and chatbots that attempt to provide online customer service …

Deep medicine: how artificial intelligence can make healthcare human again
E Topol – 2019 – books.google.com
Page 1. DEEP MED CINE HOW ARTIFICIAL INTELLIGENCE CAN MIA RE HEALTHCARE HUMAN AGAIN ER CT OPOL With a foreword by ABRAHAMWERGHES E. author of Curting for Stone Page 2. DEEP MED | CINE How …

IoT for smart living environments: recommendations for healthy ageing solutions
P Barralon, B Charrat, I Chartier, V Chirie, G Fico… – 2019 – dspace.library.uu.nl
Page 1. IoT for Smart Living Environments Recommendations for healthy ageing solutions AIOTI WG05 Smart Living Environments for Ageing Well April 2019 Page 2. © AIOTI. All rights reserved. 2 Executive Summary The objective …

Improving neural relation extraction with implicit mutual relations
J Kuang, Y Cao, J Zheng, X He, M Gao… – arXiv preprint arXiv …, 2019 – arxiv.org
Page 1. Improving Neural Relation Extraction with Implicit Mutual Relations Jun Kuang?, Yixin Cao†, Jianbing Zheng?, Xiangnan He‡, Ming Gao?§, Aoying Zhou? ? School of Data Science and Engineering, East China Normal …

R Machine Learning Projects: Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5
SK Chinnamgari – 2019 – books.google.com
Page 1. R Machine Learning Projects Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5 º Pacº – – º www.packticom Dr. Sunil Kumar Chinnamgari Page 2. R Machine Learning Projects Implement …

Intellectual Property and the End of Work
CA Hrdy – Fla. L. Rev., 2019 – HeinOnline
Page 1. INTELLECTUAL PROPERTY AND THE END OF WORK Camilla A. Hrdy* Abstract The conventional wisdom is that intellectual property (IP) is good for jobs. Indeed, according to legislators and the US patent office, IP “creates jobs.” But this is not quite right …

Applications of Mobile Computing in Healthcare
A Shrivastava, K Saini, N Sanghvi, T Gupta, T Raj… – iiitd.edu.in
Page 1. Applications of Mobile Computing in Healthcare Ayush Shrivastava (2016024), Kanika Saini (2016047), Nilay Sanghvi (2016063), Pragya Prakash (2016067), Shravika Mittal (2016093), Tanish Gupta (2016106), Tanya Raj (2016108), Mehak Gupta …

Casual creators: Defining a genre of autotelic creativity support systems
K Compton – 2019 – search.proquest.com
… Compare these to decidedly non-casual word-encoding explorers like the official Tensorflow projection viewer (https://projector.tensorflow. org/). . . 217 11.5 Dryad’s multidimensional “landmark” trees …

Moses Eterigho Emetere
ET Akinlabi – Springer
Page 1. Lecture Notes in Networks and Systems 58 Moses Eterigho Emetere Esther Titilayo Akinlabi Introduction to Environmental Data Analysis and Modeling Page 2. Lecture Notes in Networks and Systems Volume 58 Series Editor …

Blockchain and the Supply Chain: Concepts, Strategies and Practical Applications
N Vyas, A Beije, B Krishnamachari – 2019 – books.google.com
Page 1. NICK VYAS AL.JOS. A BEJ = RESOURCES U ONLINE BHASKAR KRISHNAMACHAR ELOGIGHAIN AND THE SUPPY CHAIN CONCEPTS, STRATEGIES AND PRACTICAL APPLICATIONS Kogan?Page Page 2. i Blockchain and the Supply Chain Page 3 …

Graphical Management of Attentional State
SW Kortschot – 2019 – tspace.library.utoronto.ca
Page 1. Graphical Management of Attentional State by Sean William Kortschot A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Mechanical & Industrial Engineering University of Toronto © Copyright by Sean William Kortschot 2019 …

Importance of Lithium-Based Energy Storage in Achieving India’s Climate Goals
N Vedachalam, GA Ramadass, MA Atmanand – ieeecs-madras.managedbiz.com
Page 1. IEEE India Info. Vol. 14 No. 4 Oct – Dec 2019 Page 54 Importance of Lithium-Based Energy Storage in Achieving India’s Climate Goals N. Vedachalam, GA Ramadass & MA Atmanand National Institute of Ocean Technology …