NLTK & Dialog Systems 2019


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NLTK & Chatbots 2018


Does gender matter? towards fairness in dialogue systems
H Liu, J Dacon, W Fan, H Liu, Z Liu, J Tang – arXiv preprint arXiv …, 2019 – arxiv.org
… Moreover, public commercial chatbots can get resisted for their improper speech [15]. Hence, there is an urgent demand to investigate the fairness issues of dialog systems … [27] Steven Bird. NLTK: the natural language toolkit …

Enquiry Chatbot at District Court using NLP
L Fating, N Kshirsagar, S Bokade, U Kamth, A Bhange – ijresm.com
… Different terms have been used for a chatbot such as: machine conversation system, virtual agent, dialogue system, and chatterbot … A. Natural language toolkit (NLTK) The Natural Language Toolkit (NLTK) is a set of modules, tutorials and exercises which are open source and …

CHEERBOT: A Step Ahead of Conventional ChatBot
CB Maniyar, CM Bhatt, TN Pandit… – Next-Generation Wireless …, 2019 – igi-global.com
… Chatbots are made for a dialog system between the user and the chatbot, although it … Iris: a chat-oriented dialogue system based on the vector space model … Natural Language Toolkit (NLTK) Sample and Tutorial: Part 1. Retrieved from https://dzone.com/articles/natural-language …

Towards a Portable SLU System Applied to MSA and Low-resourced Algerian Dialects
M Lichouri, R Djeradi, A Djeradi, M Abbas – International Conference on …, 2019 – Springer
… of a multimodal, multilingual and multi-domain human-machine dialogue system is necessary … paper, we are interested in the multilingual aspect in human-machine dialog system … Sentence boundary disambiguation) [14], using “PUNKT” of NLTK (Natural Language Toolkit) [15 …

Effective Data Augmentation Approaches to End-to-End Task-Oriented Dialogue
J Quan, D Xiong – 2019 International Conference on Asian …, 2019 – ieeexplore.ieee.org
… Empirical study on two public datasets CamRest676 and KVRET shows that data augmentation can prevent the dialogue system from the omission of key information in … 1631–1640, 2016. [8] S. Bird and E. Loper, “Nltk: the natural language toolkit,” in Proceedings of the ACL …

A SURVEY To Chatbot System With Knowledge Base Database By Using Artificial Intelligence & Expert Systems
MNR Khante, MKN Hande – 2019 – academia.edu
… they are more natural than graphic-based interfaces, spoken dialogue systems are beginning to … The Natural Language ToolKit (NLTK) is a set of modules, tutorials and exercises which are … conversation continuous, there is a need to build a dialogue system (programme) called …

An Automatic System for Learning and Dialogue Based on Assertions
U Maniscalco, A Messina, P Storniolo – Biologically Inspired Cognitive …, 2019 – Springer
… In the article presented here, the goal is not to create a perfect dialogue system. Instead, the goal is to design a system able to generate a conversational agent in a fast and unsupervised way … 4. Loper E, Bird S (2002) NLTK: the natural language toolkit …

Intent Based Utterance Segmentation for Multi IntentNLU
A Sethupat Radhakrishna – 2019 – conservancy.umn.edu
… functioning of the Dialog system. However, we also make sure that the experiments we … NLTK Natural Language Toolkit [29] commonly referred to as NLTK provides a sentence seg- mentation tool which takes raw textual input and identifies multiple clauses if there are any …

Intent Based Utterance Segmentation for Multi IntentNLU
AS Radhakrishna – 2019 – search.proquest.com
… functioning of the Dialog system. However, we also make sure that the experiments we … NLTK Natural Language Toolkit [29] commonly referred to as NLTK provides a sentence seg- mentation tool which takes raw textual input and identifies multiple clauses if there are any …

Transfer Hierarchical Attention Network for Generative Dialog System
X Zhang, Q Yang – International Journal of Automation and Computing, 2019 – Springer
… The Chit-chat dialog system is a promising natural language processing (NLP) technology which aims to en- able computers to chat with human through natural lan- guage. Traditional chit-chat dialog systems are built by hand-crafted rules or directly selecting a human writing …

A natural language corpus of common grounding under continuous and partially-observable context
T Udagawa, A Aizawa – Proceedings of the AAAI Conference on Artificial …, 2019 – aaai.org
… Level Phenomena Understanding speaker’s meaning at the utterance level is critical in dialogue (Grice 1957): especially the idea of speech acts (Austin 1962; Searle 1969) has been applied widely in dialogue system research for … NLTK: The natural language toolkit …

A Language Generation Toolkit for Expressing Agreement in Small Talk
M Si – Proceedings of the 32nd International Conference on …, 2019 – dl.acm.org
… Social Dialogue with Embodied Conversational Agents. In Natural, Intelligent and Effective Interaction with Multimodal Dialogue Systems, J. van Kuppevelt, L. Dybkjaer, and N. Bernsen (Eds.). New York: Kluwer Academic … 2002. NLTK: The Natural Language Toolkit …

Automated scoring of chatbot responses in conversational dialogue
SK Yuwono, B Wu, LF D’Haro – … Workshop on Spoken Dialogue System …, 2019 – Springer
… Loper E, Bird S (2002) NLTK: The natural language toolkit … J Comput 7(12):2913–2920 Google Scholar. 31. Yu Z, Papangelis A, Rudnicky A (2015) TickTock: a non-goal- oriented multimodal dialog system with engagement awareness …

EMERGENCY PATIENT CARE SYSTEM USING CHATBOT
P Raj, R Murali Krishna, SM Krishna, KH Vardhan… – ijtre.com
… For various practical purposes like customer service or information acquisition, chatbot is being used in the dialogue system … This classifier is naive because it treats every word independently. We use NLTK (natural language toolkit) for two things …

FoodKG: a semantics-driven knowledge graph for food recommendation
S Haussmann, O Seneviratne, Y Chen… – International Semantic …, 2019 – Springer
… four main classes–actions, foods, recipes, and utensils–with supplementary class units, measures, and equivalencies, and the ontology is integrated into a dialogue system to answer the … (4) The remaining text is tokenized with the Natural Language Toolkit (NLTK; https://www …

Doly: Bengali Chatbot for Bengali Education
M Kowsher, FS Tithi, MA Alam, MN Huda… – … on Advances in …, 2019 – ieeexplore.ieee.org
… For Natural Language Processing (NLP) we installed Natural Language Toolkit (NLTK) … Synset Distance: For calculating the synonymous similarity between statements, NLTK provides Synset distance … This research is a pioneering work in the field of dialogue system in Bengali …

Conversation Facts
C Kang, N Miller, J Marks – 2019 – vtechworks.lib.vt.edu
… Dialogue Summary Corpus: Version 1?[1] from Natural Language and Dialog Systems as our dataset for this project. This project was created in Python due to its natural language processing libraries which include spaCy [5] and the Natural Language Toolkit (NLTK) [8] libraries …

Predicting laughter relevance spaces in dialogue
V Maraev, C Howes, JP Bernardy – christinehowes.com
… aware of the fact that this requires understanding laughter on a deeper level, including its various semantic roles and pragmatic func- tions (see (Maraev et al., 2018) for a discussion about integrating laughter in spoken dialogue systems) … NLTK: the natural language toolkit …

Positive Unlabelled Learning to Recognize Dishes as Named Entity
A TAREK – 2019 – bspace.buid.ac.ae
… NLP Natural Language Processing NLTK Natural Language Toolkit PoS Part of Speech ROI … a system, named Slugbot’s Named Entity Recognition for dialogue Systems (SlugNERDS) based on Google Knowledge Graph Search API, which uses Schema.org implicitly …

Sentiment Analysis and Deep Learning Based Chatbot for User Feedback
S Sankar – Intelligent Communication Technologies and Virtual …, 2019 – Springer
… All the queries were tokenized using Natural Language ToolKit (NLTK) … tools that were used for the work are Keras for the deep learning models and NLTK for NLP … J.: The ubuntu dialogue corpus: a large dataset for research in unstructured multi-turn dialogue systems (2015) …

Improving the Processing of Question Answer Based Legal Documents.
S Chakravarty, M Mehrotra, RVSP Chava, H Liu… – JURIX, 2019 – books.google.com
… J. Williams, A belief tracking challenge task for spoken dialog systems, in: NAACL-HLT Workshop on Future directions and needs in the Spoken Dialog Community: Tools and Data (SDCTD 2012), 2012 … E. Loper and S. Bird, NLTK: the natural language toolkit, arXiv preprint cs …

Distributional Models with Syntactic Contexts for the Measurement of Word Similarity in Brazilian Portuguese
EE Berlitz, DA Araujo, AB Silva, RR Righi… – Journal of Computer …, 2019 – researchgate.net
… Better techniques for identifying word similarity can help in many NLP tasks such as dialogue systems, question answering and information … aspects for the adoption of OMW in the experiments were its ease of use through the Natural Language Toolkit (NLTK) library available …

Dialogue quality and nugget detection for short text conversation (STC-3) based on hierarchical multi-stack model with memory enhance structure
HE Cherng, CH Chang – NTCIR14. p. to appear, 2019 – research.nii.ac.jp
… Automatic question-answering and dialog systems are important applications in enterprise customer services … For data preprocessing, we remove all full-shape characters and half-shape characters except (A-Za-z!”#$%&()*+,_`{|}~ then apply NLTK tool [1] to …

M-path: a conversational system for the empathic virtual agent
ÖN Yalç?n, S DiPaola – Biologically Inspired Cognitive Architectures …, 2019 – Springer
… 7 Conclusion and Future Work. In this work, we proposed and implemented a dialogue system to equip empathic behaviors in a conversational agent … ACM Trans Manag Inf Syst (TMIS) 4(4):19Google Scholar. 8. Loper E, Bird S (2002) NLTK: The natural language toolkit …

FAID: Feature Aftermath for Irony Discernment
R Bhargava, A Agarwal… – 2019 9th International …, 2019 – ieeexplore.ieee.org
… REFERENCES [1] S. Bird and E. Loper. Nltk: the natural language toolkit. In Proceedings of the ACL 2004 on Interactive poster and demonstration sessions, page 31 … ” yeah right”: sarcasm recognition for spoken dialogue systems. In INTERSPEECH, 2006 …

Intent Pattern Discovery for Academic Chatbot-A Comparison between N-gram model and Frequent Pattern-Growth method
S Alias, MS Sainin, TS Fun… – 2019 IEEE 6th International …, 2019 – ieeexplore.ieee.org
… For the N-gram model, the implementation is using the Python NLTK (Natural Language Toolkit) N-gram class module … [2] IV Serban, R. Lowe, P. Henderson, L. Charlin, and J. Pineau, “A survey of available corpora for building data-driven dialogue systems: The journal version …

Sarcasm Detection Using Lexical and Contextual Features of Deep Learning Architecture
AB ADEYEMO, JO ADEWUYI – 2019 – journals.ui.edu.ng
… in everyday communication and causes difficulties to many NLP systems such as online review summarization systems, dialogue systems or brand … less than three letter word, also we removed every retweet and also, we made you of NLTK (Natural Language Toolkit) in python …

FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation
MJ Zaki – academic.hugochan.net
… main classes actions, foods, recipes, and utensils with supplementary class units, measures, and equivalencies, and the ontol- ogy is integrated into a dialogue system to answer … 4) The remaining text is tokenized with the Natural Language Toolkit (NLTK; https://www.nltk.org) …

The development of an automatic pronunciation assistant
TJ Sefara – 2019 – ulspace.ul.ac.za
… NLP Natural Language Processing NLTK Natural Language Toolkit PHP Hypertext Pre-Processor POS Part-of-Speech … mobile smartphones, computers, internet-based services, and dialogue systems. A TTS synthesis system can be embedded in special equipment as a voice …

Zero-shot anticipation for instructional activities
F Sener, A Yao – … of the IEEE International Conference on …, 2019 – openaccess.thecvf.com
… Sequence-to-sequence learning [50] has made it possible to successfully generate continuous text and build dialogue systems [13, 54] … We tag the verbs in the training recipes with the Natural Language Toolkit [4] and select the 250 most frequent for evaluation …

Topological Representation of Text for Entailment
K Savle – 2019 – search.proquest.com
… learning classifier or neural network models are trained on them, they cannot generalize very well on specialized tasks such as, legal data, dialogue systems and larger documents etc. In this thesis … NLTK Natural Language Tool Kit NLP Natural Language Processing …

Follow-up Question Generation
Y Mandasari – 2019 – essay.utwente.nl
… NLTK Natural Language Toolkit NLU Natural Language Understanding … Now/Home). These dialogue systems can help to send texts, make ticket reservations, 5 Page 14 … Another example is virtual assistants in an online shopping website, where a task-oriented dialogue system …

Processing Open Text Input in a Scripted Communication Scenario
FPM Heemskerk – 2019 – dspace.library.uu.nl
… Here we will discuss ReaderBench and Natural Language Toolkit (NLTK). Reader Bench … 4 Page 9. Natural Language Toolkit Natural Language Toolkit (NLTK) is an open source framework for natural language processing written in Python [25] …

Unsupervised Graph-based Discourse Planning and Generation
A Singh, N Chatterjee – IETE Technical Review, 2019 – Taylor & Francis
… For calculating BLEU-4 and perplexity scores, we use the python library NLTK [25] and for ROGUE-L … Web,” Combined Workshop on Language-Enabled Educational Technology and Development and Evaluation of Robust Spoken Dialogue Systems, European Conference on …

# MeTooMaastricht: Building a chatbot to assist survivors of sexual harassment
T Bauer, E Devrim, M Glazunov, WL Jaramillo… – … Conference on Machine …, 2019 – Springer
… For the first part we made use of available solutions in several software packages that are freely distributed, namely the Natural Language Toolkit (NLTK) (Python), the spaCy library (Python) and the … Burtsev, M., et al.: DeepPavlov: open-source library for dialogue systems …

Long Term Memory in Conversational Robots
J Olson, E Södergren – 2019 – diva-portal.org
… This makes enhanced dialogue system interaction even more interesting to examine from a business … A part of the issue of long-term memory in dialogue systems is that … This was done using the popular python NLP library NLTK (Natural Language Toolkit), and in particular the …

Estimation Method of L2 Learners’ Second Language Ability by using Features in Conversation
X Chen, MHURR Khan, K Wakabayashi – Proceedings of the 21st …, 2019 – dl.acm.org
… A chat system is a dialogue system that aims to establish natural conversation with human beings without focusing on specific topics and themes, etc … For English chat experiment, we trained our model using two different English corpus, the first is NLTK Brown cor- pus of 57,340 …

Chat-bot-based natural language interface for blogs and information networks
M Poongodi, V Vijayakumar… – … Journal of Web …, 2019 – inderscienceonline.com
… At the same time, in the experiment, they built three experimental systems (a pure dialogue system associated with knowledge based on … It is likely that the implementation of the proposed research would require natural language tool kit (NLTK) for some using some NLP models …

Semantic Network Analysis Pipeline—Interactive Text Mining Framework for Exploration of Semantic Flows in Large Corpus of Text
M Cenek, R Bulkow, E Pak, L Oyster, B Ching… – Applied Sciences, 2019 – mdpi.com
… language (text) by machines to achieve tasks such as language understanding, machine cognition and perception, and dialogue systems to name … SNAP currently uses Natural Language Toolkit (NLTK) for NLP processing, but it can be swapped for any other NLP framework [40 …

Deep conversational recommender in travel
L Liao, R Takanobu, Y Ma, X Yang, M Huang… – arXiv preprint arXiv …, 2019 – arxiv.org
… user likes an item or whether the user prefers an item to another, while a typical task oriented dialog system often directly solicits facets from users [5], [27]. There are also another line of approaches using reinforcement learning (RL) to train goal-oriented dialog systems [10], [28 …

Sentiment Recognition for Short Annotated GIFs Using Visual-Textual Fusion
T Liu, J Wan, X Dai, F Liu, Q You… – IEEE Transactions on …, 2019 – ieeexplore.ieee.org
… network is proposed to train a con- versational emotion recognition classifier using dyadic dialogue videos [4], which can be plugged into any dialogue system to generate … We conduct the Lemmatization preprocessing step by using the Natural Language Toolkit (NLTK) [38] …

Using Pre-trained Embeddings to Detect the Intent of an Email
Z Alibadi, M Du, JM Vidal – Proceedings of the 7th ACIS International …, 2019 – dl.acm.org
… NLP) enables computers to perform a wide range of natural language-related tasks such as parsing, part-of-speech (POS) tagging, machine translation, dialog systems, and sentiments … Using NLTK library [21], we convert each email’s content into a list of its sentences …

CoaCor: code annotation for code retrieval with reinforcement learning
Z Yao, JR Peddamail, H Sun – The World Wide Web Conference, 2019 – dl.acm.org
Page 1. CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning Ziyu Yao The Ohio State University yao.470@osu.edu Jayavardhan Reddy Peddamail The Ohio State University peddamail.1@osu.edu Huan Sun The Ohio State University sun.397@osu.edu …

Mining Text in Incident Repositories: Experiences and Perspectives on Adopting Machine Learning Solutions in Practice
J Misra, S Podder – … 34th IEEE/ACM International Conference on …, 2019 – ieeexplore.ieee.org
… experienced NLP data scientists to build initial training samples. All prototype tools in experiments were built using standard off-the-shelf Python libraries, in particular, NLTK (natural language toolkit), StanfordNLP, and Scikit-Learn. III …

VQAG: Automatic Generation of Question-Answer Pairs from Images
Z Wang – 2019 – cs.anu.edu.au
Page 1. VQAG: Automatic Generation of Question-Answer Pairs from Images Zihao Wang A report submitted for the course COMP8755 Individual Computing Project Supervised by: Dr Lizhen Qu The Australian National University May 2019 c Zihao Wang 2019 Page 2 …

Comparison of Named Entity Recognition Tools Applied to News Articles
S Vychegzhanin, E Kotelnikov – 2019 Ivannikov Ispras Open …, 2019 – ieeexplore.ieee.org
… 3. NLTK (Natural Language Toolkit) [15] – a library for symbol and statistical processing of … natural language texts was conducted: Stanford NER, spaCy, NLTK, Polyglot, Flair … M. Vikhreva, M. Zaynutdinov, “DeepPavlov: Open-Source Library for Dialogue Systems”, in Proceedings …

IMPLEMENTATION OF AN AUTOMATIC QUESTION ANSWERING SYSTEM USING MACHINE LEARNING
SA ABIR – 2019 – researchgate.net
… Statistical goal-oriented dialogue systems have long been modeled as partially observable … words. The seq2seq architecture has also been broadly used in dialogue system. Tao … They differ mainly from the knowledge sources, the broadness of Dialog Systems (NLDS) is an …

Sentence-wise smooth regularization for sequence to sequence learning
C Gong, X Tan, D He, T Qin – Proceedings of the AAAI Conference on …, 2019 – aaai.org
… 2018), text summarization (Rush et al. 2015; Shen et al. 2016) and dialog systems (Serban et al. 2016) … The results show that our de- signed loss indeed leads to smooth per-token probabilities 3We use Natural Language Toolkit to do POS tag: https://www.nltk.org …

Enhancing domain-specific supervised natural language intent classification with a top-down selective ensemble model
GB Jenset, B McGillivray – Machine Learning and Knowledge Extraction, 2019 – mdpi.com
… is an important factor in creating a satisfactory user experience in a production dialogue system … Applications of dialogue systems in highly-regulated domains face the potential added challenge of … the WordNet lexical database [17], as available in the NLTK Python package [25 …

Deep learning for nlp and speech recognition
U Kamath, J Liu, J Whitaker – 2019 – Springer
Page 1. Uday Kamath · John Liu · James Whitaker Deep Learning for NLP and Speech Recognition Page 2. Deep Learning for NLP and Speech Recognition Page 3. Uday Kamath • John Liu • James Whitaker Deep Learning for NLP and Speech Recognition 123 Page 4 …

Towards the Automatic Classification of Student Answers to Open-ended Questions
JG Alvarado Mantecon – 2019 – ruor.uottawa.ca
… MO Mention Overlap MOOC Massive Open Online Course NB Naïve Bayes NLP Natural Language Processing NLTK Natural Language Toolkit OWL Web Ontology Language PEG Project Essay Grading PERP Paraphrase Edit Rate with the Perceptron POS Part-of-Speech …

Emotional Text Generation Based on Cross-Domain Sentiment Transfer
R Zhang, Z Wang, K Yin, Z Huang – IEEE Access, 2019 – ieeexplore.ieee.org
… Since the user rating annotation is provided at the documentation level and our method focuses on sentence-level text gen- eration, we use the Natural Language Toolkit2 (NLTK) to split the review paragraph into sentences …

Cognitive Computing Recipes
A Masood, A Hashmi – Springer
… 190 CoreNLP ….. 191 NLTK—Python Natural Language Toolkit ….. 191 SpaCY ….. 192 …

Neural NLP models under low-supervision scenarios
Y Zhang – 2019 – repositories.lib.utexas.edu
Page 1. Copyright by Ye Zhang 2019 Page 2. The Dissertation Committee for Ye Zhang certifies that this is the approved version of the following dissertation: Neural NLP Models Under Low-supervision Scenarios Committee: Matthew A Lease, Supervisor …

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
… 6 We use default word tokenizer, Snowball stemmer and n-gram extraction of the nltk toolkit [3] 7 We use the … Natural language processing with Python: analyzing text with the natural language toolkit … Guardian: A Crowd- Powered Spoken Dialog System for Web APIs …

A topic-driven language model for learning to generate diverse sentences
C Gao, J Ren – Neurocomputing, 2019 – Elsevier
… applications include text summarization [1], question generation [2], response generation in dialogue systems [3], [4 … In the human-machine dialogue system, we can get a topic distribution of an input … We use NLTK [27] to tokenize the sentences in datasets, lowercase all word …

Text Summarization for Chatbots
M Lustig – 2019 – support.dce.felk.cvut.cz
… Both approaches can however be combined. For example, the navigation between states of an automaton in the frame based dialogue system can be based on learned probabilities. The area of dialogue systems development resembles more an alchemy than a strict science …

Some Highlights of Human Language Technology in Baltic Countries
I SKADIA – Databases and Information Systems X: Selected …, 2019 – books.google.com
… Technologies development 2014 2020″ where machine translation, speech analysis, dialogue systems, automatic summarization … The well know toolkit is Natural Language Toolkit 17 http://www. cl. ut … of Human Language Technology in Baltic Countries 25 (NLTK)–a platform for …

Automatically responding to customers
R Huijzer – pure.tue.nl
… 7 Page 19. CHAPTER 2. PRELIMINARIES 2.1.3 Natural language understanding Conversational agent or dialogue systems aim to communicate with humans using natural lan- guage. Consensus is not clear on whether a chatbot is synonymous to conversational agent …

Aspect Term Extraction in Aspect-Based Sentiment Analysis
AD Francisco – 2019 – repository.ufrpe.br
… machine translation, speech recognition, and speech synthesis. Today’s researchers refine and make use of such tools in real-world applications, creating spoken dialogue systems and speech-to-speech translation engines, mining social media for information about health …

Towards Annotation of Text Worlds in a Literary Work
E Mikhalkova, T Protasov, A Drozdova… – ???????????? …, 2019 – dialog-21.ru
… compare text worlds across annotated texts is Levenshtein distance from NLTK package for … Also, dialogue systems might acquire ability to understand a situation, context of conversation … Natural language processing with Python: analyzing text with the natural language toolkit …

TOWARDS ANNOTATION OF TEXT WORLDS IN A LITERARY WORK
M EV, T Protasov, A Drozdova, A Bashmakova, P Gavin – academia.edu
… to compare text worlds across annotated texts is Levenshtein distance from NLTK package for … Also, dialogue systems might acquire ability to under- stand a situation, context of … S. et al.: Natural language processing with Python: Analyzing text with the natural language toolkit …

Natural Language Processing, Understanding, and Generation
A Singh, K Ramasubramanian, S Shivam – Building an Enterprise Chatbot, 2019 – Springer
… NLTK. The Natural Language Toolkit (NLTK) is a Python library for processing English vocabulary. It has an Apache 2.0 open source license. NLTK is written in the Python programming language. The following are some of the tasks NLTK can perform …

ArgueBot: Enabling debates through a hybrid retrieval-generation-based chatbot
I Kulatska – 2019 – essay.utwente.nl
Page 1. University of Twente Human Computer Interaction and Design EIT Digital Master School Interactive Technology University of Twente PO Box 217 7500 AE Enschede The Netherlands M.Sc. Thesis ArgueBot: Enabling debates through a hybrid …

Building Chatbots with Python
S Raj, S Raj, Karkal – 2019 – Springer
… 119 Dialog Management Using Rasa Core ….. 121 Understanding More on Rasa Core and Dialog System ….. 122 Understanding Rasa Concepts ….. 125 …

Intelligent Asset Management
F Xing, E Cambria, R Welsch – 2019 – Springer
… facial expressions, posture, behavior, physiology), and affective interfaces and applications (dialogue systems, games, learning … 115 7.2 Robo-Advisory and Dialog System … NLTK Natural Language Toolkit NT Neural Trading Portfolio NYSE The New York Stock Exchange OMCS …

SpaceRefNet: a neural approach to spatial reference resolution in a real city environment
D Kalpakchi, J Boye – Proceedings of the 20th Annual SIGdial Meeting …, 2019 – aclweb.org
… the POS-tagged utterance is then parsed us- ing NLTK RegexpParser (Bird et al., 2009), supplied with the following grammar: NP: { (?(<RB.*>**)*<NN.*>+*)+ } all found NPs are returned as REs. 5.2 Reference resolution baseline …

Feature-based compositing memory networks for aspect-based sentiment classification in social internet of things
R Ma, K Wang, T Qiu, AK Sangaiah, D Lin… – Future Generation …, 2019 – Elsevier
… To obtain part-of-speech (POS) tags, context words are parsed with the Natural Language Toolkits (NLTK) [35] and we build a POS vector { t i } , in which each element t i is the category Id of single word w i . The category Id is the index number in candidate categories. (3) …

Towards computational persuasion via natural language argumentation dialogues
A Hunter, L Chalaguine, T Czernuszenko… – Joint German/Austrian …, 2019 – Springer
… we used for the classifiers were keywords, and synonyms for keywords coming from WordNet in the Python NLTK library [8] … CrossRefGoogle Scholar. 8. Bird, S., Klein, E., Loper, E.: Natural Language Processing with Python – Analyzing Text with the Natural Language Toolkit …

An Efficient Policy Gradient Method for Conditional Dialogue Generation
L Cai, S Ji – 2019 IEEE International Conference on Data …, 2019 – ieeexplore.ieee.org
… In dialogue systems, each utterance can be labeled with a dialog act such as “statement-opinion”, Context … The preprocessing procedure is the same as that in [4], including tokenizing using NLTK [30], removing false tokens, and constructing frequent word vocabulary …

Enhancing text using emotion detected from EEG signals
A Gupta, H Sahu, N Nanecha, P Kumar, PP Roy… – Journal of Grid …, 2019 – Springer
Page 1. J Grid Computing (2019) 17:325–340 https://doi.org/10.1007/s10723-018-9462- 2 Enhancing Text Using Emotion Detected from EEG Signals Akash Gupta · Harsh Sahu · Nihal Nanecha · Pradeep Kumar · Partha Pratim Roy · Victor Chang …

Order-Sensitive Keywords Based Response Generation in Open-Domain Conversational Systems
Q Zhu, W Zhang, L Cui, T Liu – ACM Transactions on Asian and Low …, 2019 – dl.acm.org
… [36] utilize hierarchical methods that model the utterances and interactive struc- ture to build multi-turn dialogue systems … roughly 2,600,000 tweet-response pairs collected from the Twitter.3 The corpus has already been lowercased; we further tokenize it using the NLTK toolkit …

Specifying Dual-Arm Robot Planning Problems Through Natural Language and Demonstration
JK Behrens, K Stepanova, R Lange… – IEEE Robotics and …, 2019 – ieeexplore.ieee.org
… As ground truth, the pose of the glue application is recorded based on the glue gun button press. Sentence- wise separated files with a transcript are provided.3 To process linguistic input we make use of the Python library NLTK 3.3 (Natural language processing toolkit) [20] …

A comparative study of word embedding methods for early risk prediction on the Internet
E Fano – 2019 – diva-portal.org
… Another realistic scenario would be to provide support for help lines and hospitals. It would be possible to develop chat bots and other dialogue systems that can determine the severity of a person’s mental health risk based on just a few lines of text …

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