Notes:
Part-of-speech (POS) tagging is the process of marking each word in a text with its corresponding part of speech, such as noun, verb, adjective, etc. It is a common task in natural language processing (NLP) and is often used in dialog systems like chatbots to help understand and interpret user input.
In a chatbot, POS tagging can be used to identify the key words and concepts in a user’s message and to understand the intended meaning of the message. For example, if a user asks a chatbot “What is the weather like in New York?”, the chatbot could use POS tagging to identify the noun “weather” and the adjective “like” (indicating a comparison), and to understand that the message is asking for information about the weather in a specific location (New York).
POS tagging can also be used to improve the quality of the chatbot’s responses. For example, if the chatbot uses POS tagging to identify the tense of a user’s message (e.g., past, present, future), it can generate a response in the appropriate tense, which can help to make the response sound more natural and human-like.
A part-of-speech (POS) tagger is a software tool that performs POS tagging, which is the process of marking each word in a text with its corresponding part of speech, such as noun, verb, adjective, etc. A POS tagger takes a sentence or a piece of text as input and produces a tagged version of the text as output, with each word marked with its corresponding part of speech.
There are various ways to implement a POS tagger, depending on the specific requirements and characteristics of the language being tagged. Here are some common approaches:
- Rule-based: A rule-based POS tagger uses a set of predefined rules to tag the words in a text. The rules may be based on the phonological, syntactic, or semantic characteristics of the language, and may be manually defined or generated automatically from a training corpus.
- Statistical: A statistical POS tagger uses statistical techniques to learn the POS patterns of a language from a training corpus. The tagger builds a model of the language based on the patterns it observes, and uses the model to predict the POS tags of new words.
- Hybrid: A hybrid POS tagger combines rule-based and statistical techniques, using a combination of predefined rules and statistical models to tag the words in a text.
Wikipedia:
See also:
ACOPOST (A COllection of POS Taggers) | TreeTagger & Dialog Systems
Ambiguitas Machine Translation pada Cross Language Chatbot Bea Cukai
MM Al Haromainy, DA Setyawan… – Register: Jurnal …, 2019 – journal.unipdu.ac.id
… Pertama, chatbots mendeteksi bahasa yang dimasukkan pengguna … Jika benar, dilanjutkan POS (Part-of-Speech) Tagging, maksudnya adalah menyeleksi atau memilih bagian kata … Ambiguitas Machine Translation pada Cross Language Chatbot Bea Cukai …
Interactive matching network for multi-turn response selection in retrieval-based chatbots
JC Gu, ZH Ling, Q Liu – Proceedings of the 28th ACM International …, 2019 – dl.acm.org
… interactive matching network (IMN), for multi-turn response selection in retrieval-based chatbots … named IMN, for multi-turn response selection in retrieval-based chatbot- s. (2 … lower layers can also provide useful sentence descriptions, such as part-of-speech tagging and syntax …
Building Chatbots with Python
S Raj, S Raj, Karkal – 2019 – Springer
… Nitin Solanki has extensive experience in Natural Language Processing, Machine Learning, and Artificial Intelligence Chatbot development. He has developed AI chatbots in various domains, such as healthcare, e-commerce, education and law firms, and more …
Ensemble-based deep reinforcement learning for chatbots
H Cuayáhuitl, D Lee, S Ryu, Y Cho, S Choi, S Indurthi… – Neurocomputing, 2019 – Elsevier
… 3. We propose a novel ensemble-based methodology for chatbot training, where each chatbot in our ensemble is trained with a set of clustered dialogues. To test our agents, we train 100 DRL chatbots with the aim of generating more context-relevant responses …
Characterizing man-made vs. machine-made chatbot dialogs
A Uchendu, J Cao, Q Wang, B Luo, D Lee – Proceedings of the Int’l Conf …, 2019 – ittc.ku.edu
… 1. Loebner: The Loebner prize competition dataset 3 comprises of yearly chatbot com- petitions … 3. WOCHAT: Workshops and Session Series on Chatbots and Conversational Agents, also known as … access to a chat- bot, generating data by using either any chat- bot provided or …
Building an enterprise chatbot: Work with protected enterprise data using open source frameworks
A Singh, K Ramasubramanian, S Shivam – 2019 – books.google.com
… Page 19. INTRODUCTIONINTRODUCTION • Learn how to deploy a complete in-house-built chatbot using an open source technology stack like RASA and Botpress (such chatbots avoid sharing any PIIs with any third-party tools) • Develop a chatbot called IRIS from scratch by …
End to End Parts of Speech Tagging and Named Entity Recognition in Bangla Language
JR Saurav, S Haque… – … Conference on Bangla …, 2019 – ieeexplore.ieee.org
… Solving these kinds of fundamental tasks will help to develop a more advanced system like a chatbot, optimize search results, etc … REFERENCES [1] Manning, CD, 2011, February. Part-of-speech tagging from 97% to 100%: is it time for some linguistics …
Chat-bot-based natural language interface for blogs and information networks
M Poongodi, V Vijayakumar… – … Journal of Web …, 2019 – inderscienceonline.com
… Hence this is a supporting fact that the need of NL-SQL interfacing chat-bots on social … The working model of the chat-bot is shown in Figure 2. The description of the … 5 Part of speech tagger: The tokens are then classified into nouns, pronouns, verb and string/integer variables …
Natural Language Processing for Chatbots
S Raj – Building Chatbots with Python, 2019 – Springer
… 13 statistical models for 8 languages. Pre-trained word vectors. Easy deep-learning integration. Part-of-speech tagging. Labeled dependency parsing. Syntax-driven sentence segmentation. Built-in visualizers for syntax and NER … xxxx. True. False. chatbots. chatbot. NOUN. NNS …
Interactive Interview Chatbot
S Yakkundi, A Vanjare, V Wavhal, S Patankar – 2019 – academia.edu
… days there have been a number of studies related to chatbot, NLP and … are focusing on the improvement of customer feedback and business oriented chatbots … Process includes many phases, starting from part- of-speech tagging, sentiment orientation, and average sentiment …
Towards Conversation Chatbot for Educational Purpose
S Nasim, M Ahmed, M Oussalah – fruct.org
… The latter includes identification of various textual chunks, tokenization, part of speech tagging, and un- common characters … REFERENCES [1] BA Shawar and E. Atwell, “Chatbots: are they really useful?,” in … [3] L. Bradeško and D. Mladenic, “A survey of chatbot systems through …
Intelligent Chatbot Model to Enhance the Emotion Detection in social media using Bi-directional Recurrent Neural Network
M Balaji, N Yuvaraj – Journal of Physics: Conference Series, 2019 – iopscience.iop.org
… human speech into textwhich includes short utterances, dictations or questions [4]. Using natural language processing (NLP) as a part of speech tagging, noun-phrase … chatbot”http://www.techworld. com/picture-gallery/personal-tech/9-best-usesof- chatbots-in- business …
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… Abstract—Nowadays, recurrent neural networks (RNN) and convolutional neural networks (CNN) play a major role in a lot of natural language domains like text document categorization, part of speech tagging, chatbots, language modeling or language translation …
Is It Possible to Use Chatbot for the Chinese Word Segmentation?
KC Chang, HT Chang – Proceedings of the 2019 3rd International …, 2019 – dl.acm.org
… From our experimental results, we think it is possible to use Chatbot for Chinese word segmentation … [15] Chen, X., Qiu, X., & Huang, X. A Feature-Enriched Neural Model for Joint Chinese Word Segmentation and Part-of- Speech Tagging. [16] Xu, J., & Sun, X. (2017) …
Focused domain contextual AI chatbot framework for resource poor languages
A Paul, A Haque Latif, F Amin Adnan… – Journal of Information …, 2019 – Taylor & Francis
… work is to avoid the incompetence of the existing chatbots and provide an … work provides a performance wise optimized framework for a chatbot which can … of customers without using grammar induction, morphological segmentation, part-of-speech tagging, terminology extraction …
Potential of Bots for Encyclopedia
M Saracevic, M Ebner, M Ebner – intelligence (AI) – ipsitransactions.org
… 3. Part of speech tagger Fig … The knowledge domain represents the brain of chatbots … In the future this step should be considered to create a relational database and use the chatbot as a natural language interface. The setting up of an agent on an NLU platform was described …
An Information Retrieval-based Approach for Building Intuitive Chatbots for Large Knowledge Bases.
A Lommatzsch, J Katins – LWDA, 2019 – ceur-ws.org
… The concept of FAQ-based chatbots is used by the chatbot of the city of Vienna3 or the bot of the Singapore administration4 … In a first step, the user input is enriched using a Part-Of-Speech tagger. Detected entities are mapped to the concepts of an ontology …
CHEERBOT: A Step Ahead of Conventional ChatBot
CB Maniyar, CM Bhatt, TN Pandit… – Next-Generation Wireless …, 2019 – igi-global.com
… The library contains • Lexical analysis: Word and text tokenizer • n-gram and collocations • Part-of-speech tagger • Tree model and … Retrieved from https://apps.worldwrit- able.com/tutorials/ chatbot/ Dasgupta, PB (2017) … Two case studies in using chatbots for security training …
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 dataset for the re- sponse selection … 6NLTK is utilized for part-of-speech tagging …
A chatbot for the banking domain
P Schmidtová – 2019 – dspace.cuni.cz
… On the other hand, corpus-based chatbots use statistical methods in order to … we will describe the natural language understanding com- ponent of the chatbot … of Formal and Applied Linguistics, namely MorphoDiTa for tok- enization, part-of-speech tagging and lemmatization …
A Compression-based BiLSTM for Treating Teenagers’ Depression Chatbot
J YIN – DEStech Transactions on Computer Science and …, 2019 – dpi-proceedings.com
… This can be trained to thoroughly on many types of tasks, including sequence modeling for part-of-speech tagging (WSJ-PTB) … [2] Abdul-Kader SA, Woods J C. Survey on chatbot design techniques in speech conversation … [3] Skjuve M, Brandtzæg P B. Chatbots as a new user …
A SURVEY To Chatbot System With Knowledge Base Database By Using Artificial Intelligence & Expert Systems
MNR Khante, MKN Hande – 2019 – academia.edu
… these are sentences, phrases, or even paragraphs available in Chatbots in order to … in 1995, is an open source natural language processing chatbot program that … Using natural language processing (part of speech tagging, noun-phrase chunking, dependency and constituent …
Building an Enterprise Chatbot
A Singh, K Ramasubramanian, S Shivam – Springer
… Natural language understanding, processing, and generation Page 19. 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 any PIIs with any third-party tools) …
SURVEY ON CHAT BOT SYSTEM FOR CANCER PATIENT
P Nehul, B Lohar, U Jagtap, S Rajurkar, G Virkar – oaijse.com
… The sense of the words is found using part of speech tagging and word-net dictionary … [2] HN Io, CB Lee, “Chatbots and Conversational Agents: A Bibliometric Analysis” … [4] Sameera A. Abdul-Kader, Dr. John Woods, “Survey on Chatbot Design Techniques in Speech …
An Intelligent Question and Answering System for Dental Healthcare
Y Jiang, Y Xu, J Guo, Y Liu, R Li – International Conference on Broadband …, 2019 – Springer
… The semantic analysis mainly includes techniques such as part-of-speech tagging and dependency parsing. The retrieval mainly relates to technologies such as indexing and search. The Chatbots API calls the API provided by Turing Robotics …
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
… on many types of tasks, including sequence modeling for part-of-speech tagging (WSJ-PTB … These systems consist of two chatbots, one sentiment analysis model, and one classifier … The response model includes the casual chatting chatbot and psychological counselling chatbot …
Anniversary article: Then and now: 25 years of progress in natural language engineering
J Tait, Y Wilks – Natural Language Engineering, 2019 – search.proquest.com
… in the 1960s and a program called CLAWS4 which was designed to do automatic part-of-speech tagging: the first … by that period compared to the 1960s and 1970s, and many chatbots had developed … One such early chatbot system was described in Volume 1 of NLE – the PLUS …
Building Chatbot Thesaurus
B Galitsky – Developing Enterprise Chatbots, 2019 – Springer
… Developing Enterprise Chatbots pp 221-252 | Cite as. Building Chatbot Thesaurus. Authors; Authors and affiliations. Boris Galitsky. Chapter First Online: 05 April 2019. 944 Downloads. Abstract. We implement a scalable mechanism …
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 …
From user feedback to requirements using chatbots
D Horváth – 2019 – dspace.library.uu.nl
… Furthermore, chatbots can help in guiding the users through the bug reporting process by controlling the flow of the conversation and using follow-up … After the evaluation the subjects were asked to rate the chatbot using a usab- ility scale, and were interviewed to find out their …
Chatbot for digital marketing and customer support: an artificial intelligence approach
HJA Vaz – 2019 – repositorium.sdum.uminho.pt
… VILT proposed this project with the intention of upgrading from an old-fashion FAQ into a Chat- bot that could satisfy possible doubts … 2.3 chatbots A Chatbot is a computer program that can interact with a human using natural language with textual or auditory inputs simulating a …
Improving NLTK for processing Portuguese
J Ferreira, H Gonçalo Oliveira… – 8th Symposium on …, 2019 – drops.dagstuhl.de
… Funding This work was funded by FCT’s INCoDe 2030 initiative, in the scope of the demonstration project AIA, “Apoio Inteligente a Empreendedores (Chatbots)” … 2 Erick Rocha Fonseca and João Luís G Rosa. Mac-Morpho Revisited: Towards Robust Part- of-Speech Tagging …
KEFST: a knowledge extraction framework using finite-state transducers
A Mahmood, HU Khan, ZU Rehman, K Iqbal… – The Electronic …, 2019 – emerald.com
… KEFST consists of five steps: content extraction, tokenization, part of speech tagging, multi-word detection and NER … in various applications, such as information management systems (Marrero et al., 2013), question answering systems (Yih et al., 2013), online chatbots (Yu et al …
Keyword Extraction From Malayalam News Articles Using Conditional Random Fields
P Rohith, SS Kumar, RC Anju – 2019 Second International …, 2019 – ieeexplore.ieee.org
… In the future this system can be integrated with text mining, sentiment analysis, chat bots etc, to improve their performance … Conf. on Machine Learning, Williams College, 2001, pp. 282-289. [11] Thorsten Brants, ”TnT A Statistical Part-of-Speech Tagger’” in Proc. of the 6th Conf …
Modeling Machine Learning Agent for Interaction Conversational System Using Max Entropy Approach in Natural
AK Negi, SI Hassan – Data Communication and Networks …, 2019 – books.google.com
… There is a call center interface required where user come and interact with machine learning chatbot for registering his … Tokenization and POS Tagging using Morphological Analyzer (Springer, Switzerland, 2014) G. Dimitris, D. Evangelos, Part-of-Speech Tagging in Molecular …
Identifying facts for chatbot’s question answering via sequence labelling using recurrent neural networks
M Nuruzzaman, OK Hussain – Proceedings of the ACM Turing …, 2019 – dl.acm.org
… language processing (NLP) that not yet solved completely [1]. In recent years, both academic and industry showed interests in chatbot, which is … It can be applied to various fundamental problems such as part-of-speech tagging, named entity tagging, parsing, text chunking etc …
Investigating preference between rhyming and personalized nicknames in a human-agent interaction
A Mundkur – 2019 – researchgate.net
… A Part of Speech tagger is then used on movie names that are longer than three words to find proper nouns in the … For this reason, the chatbot was named PersonL … agent, the participant was told that they were participating in a study that was aimed at making chatbots friendlier …
Natural Language Processing and Conversational Shopping
L Luce – Artificial Intelligence for Fashion, 2019 – Springer
… Figure 2-5 shows an example of part-of-speech tagging … Chatterbots—Another name for a chatbot, chatterbot is no longer popular terminology. Some might suggest that chatterbots refer to a particular class of chatbots created before 1980 …
Contextual speech recognition with difficult negative training examples
U Alon, G Pundak, TN Sainath – ICASSP 2019-2019 IEEE …, 2019 – ieeexplore.ieee.org
… We refer to the Songs, Contacts and Talk-To as “contextualized test sets”, as these contain context relevant for recognition (eg, contact names, songs names and chatbot names) … [13] Adwait Ratnaparkhi, “A maximum entropy model for part- of-speech tagging,” in Conference on …
Unsupervised dialogue intent detection via hierarchical topic model
A Popov, V Bulatov, D Polyudova… – Proceedings of the …, 2019 – aclweb.org
… One of the challenges during a task- oriented chatbot development is the scarce availability of the labeled training data … We use standard preprossessing pipeline consist- ing of tokenization, lemmatization, part-of-speech tagging, n-grams extracting, named entity recog- nition …
ScratchThat: Supporting Command-Agnostic Speech Repair in Voice-Driven Assistants
J Wu, K Ahuja, R Li, V Chen, J Bigham – Proceedings of the ACM on …, 2019 – dl.acm.org
Page 1. 63 ScratchThat: Supporting Command-Agnostic Speech Repair in Voice-Driven Assistants JASON WU, Carnegie Mellon University, USA KARAN AHUJA, Carnegie Mellon University, USA RICHARD LI, Georgia Institute …
Natural language processing: opportunities and challenges for patients, providers, and hospital systems
CM Corcoran, C Benavides, G Cecchi – Psychiatric Annals, 2019 – healio.com
… natural language processing (NLP), which has increased the illusion of actual understanding by modern-day chatbots as compared … NLP includes probabilistic parsing of grammar, with part of speech tagging used for sentence boundary detection and estimates of usage, 6 and …
An Urdu semantic tagger-lexicons, corpora, methods and tools
J Shafi – 2019 – eprints.lancs.ac.uk
… 44 2.3.7 Part-Of-Speech Tagging Approaches … [65], software engineering [227], empirical language analysis [171], requirements engineering [182], historical semantic analysis via HTST 1.1 [166], to train a Chatbot [218], and several others [23, 214] …
A Knowledge Graph Based Approach for Automatic Speech and Essay Summarization
K Khadilkar, S Kulkarni… – 2019 IEEE 5th …, 2019 – ieeexplore.ieee.org
… Tokenization iii. Part of Speech tagging iv … For instance, such systems can be incorporated in large scale question answering systems. Using Knowledge Graphs, it will be possible to develop user specific chatbots based on the user’s language preferences …
Understanding EFL Linguistic Models through Relationship between Natural Language Processing and Artificial Intelligence Applications.
MS Keezhatta – Arab World English Journal, 2019 – academia.edu
… Simialrly, word segmentation requires distributing a text into distinct units and part-of-speech tagging requires identifying the part of speech for … in reading, deciphering, and making sense of the human languages by machine operations like online chatbots, text summarization …
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F Dalpiaz, S Brinkkemper – REFSQ Workshops, 2019 – ksuweb.kennesaw.edu
… The heuristics are implemented via a combination of regular expressions and part-of-speech tagging; we employed the … investigating how the elicitation process can be assisted through the use of chatbots that use … A key challenge for the chatbot is to interact with the users in a …
Sentiment Analysis of Yelp Reviews by Machine Learning
S Hemalatha, R Ramathmika – 2019 International Conference …, 2019 – ieeexplore.ieee.org
… The hidden Markov models used part-of-speech tagging in NLP and some statistical models which make probabilistic decisions were developed … It is of major importance in assistant chatbots and combined with speech recognition technology, it can also be used to substitute …
MSc in Computer Science
RB Sulaiman – researchgate.net
… CHAPTER INFORMATION IN THIS CHAPTER ? Overview ? Chatbot system ? Chatbot technology ? Types of chatbot ? Comparison of chatbots ? Functions of chatbot ? Syntactic analysis ? Vector space model ? Machine learning models ? Support vector machines (SVM) …
Novel Approach towards Arabic Question Similarity Detection
M Daoud – 2019 2nd International Conference on new Trends …, 2019 – ieeexplore.ieee.org
… is an interesting task that can be very helpful for a series of applications such as question answering systems [9], virtual assistants [10], chatbots [11]…etc … 1) bag of words from the normalized q1 and q2 (2) the named entity in q1 and q2 (3) q1 and q2 after part of speech tagging …
Utterance Intent Classification for Spoken Dialogue System with Data-Driven Untying of Recursive Autoencoders
T Kato, A Nagai, N Noda, J Wu… – … on Information and …, 2019 – search.ieice.org
… Figure 3 shows the procedure. The procedure starts with part-of-speech tagging of every morpheme of a sen- tence at preparation step 1). This part-of-speech tagging is the same process as that in the previous section for Japanese. Fig …
A Treatise On Conversational AI Agents: Learning From Humans’ Behaviour As A Design Outlook
M Yousef, MA Torad – 2019 International Conference on …, 2019 – ieeexplore.ieee.org
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Key Phrase Extraction for Generating Educational Question-Answer Pairs
A Willis, G Davis, S Ruan, L Manoharan… – Proceedings of the …, 2019 – dl.acm.org
… of educational use cases, such as academic writing support [7], reading compre- hension assessment [11], and educational chatbots [10] … Pre-processing Techniques We present two data pre-processing techniques we used: part of speech tagging and named entity recognition …
Pretrained language model transfer on neural named entity recognition in Indonesian conversational texts
R Leonandya, F Ikhwantri – arXiv preprint arXiv:1902.07938, 2019 – arxiv.org
… The former is a 16K conversational mes- sages from users having small talk with a chatbot, whereas the latter contains 12K task-oriented messages such as movie tickets booking, and food delivery … Pisceldo, F.: Probabilistic part of speech tagging for bahasa indonesia (2009) 24 …
Standardization of Robot Instruction Elements Based on Conditional Random Fields and Word Embedding
H Wang, Z Zhang, J Ren, T Liu – Journal of Harbin Institute of …, 2019 – hit.alljournals.cn
… procedure for information collection about destination, transportation, accommodation, etc., and also different from ordinary chatbots which usually … Collobert [9] applied word embedding to accomplish part-of-speech tagging, semantic role labeling, phrase recognition in NLP …
Enhancing free-text interactions in a communication skills learning environment
R Lala, M van Geest, S Ruseti, J Jeuring, M Dascalu… – 2019 – 45.55.127.102
… It was observed that chatbots should reply to learners’ input, but they should … io), an advanced NLP framework integrating syntactic dependency parsing and part-of-speech tagging; c) string … Users engaged in innovative discussions with the chatbot, while striving for a coherent …
Using the Web to Model Modern and Qur?anic Arabic
E Atwell – Arabic Corpus Linguistics, 2019 – books.google.com
… to experiment with the use of web-based corpora, concordances, and chatbots in the … 106 ERIC ATWELL novelty of a web-based, corpus-trained chatbot giving answers in … 4.7 Arabic corpus part-of-speech tagging and morphological analysis Some years ago, I worked on the …
Determining Emotional Profile Based on Microblogging Analysis
R Martins, P Henriques, P Novais – EPIA Conference on Artificial …, 2019 – Springer
… 1: Part of Speech Tagging (POS-T), Named Entity Recognition (NER) and Stopwords Removal … Generative Adversarial Networks (GANs) and emotional profiles, a new generation of chatbots can create … it is planned to create a running example of an emotional chatbot that “learns …
Exploring machine learning and deep learning frameworks for task-oriented dialogue act classification
T Saha, S Srivastava, M Firdaus, S Saha… – … Joint Conference on …, 2019 – ieeexplore.ieee.org
… Applications such as online chat-bots that include the Problem Solving Agent, Conversational Agent, etc … The major contributions of this work are: • A new task-oriented tag-set is proposed which is more appropriate for building a chat-bot system …
Text Classification using Different Feature Extraction Approaches
R Dzisevi?, D Šešok – 2019 Open Conference of Electrical …, 2019 – ieeexplore.ieee.org
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Comparison of Named Entity Recognition Tools Applied to News Articles
S Vychegzhanin, E Kotelnikov – 2019 Ivannikov Ispras Open …, 2019 – ieeexplore.ieee.org
… 6. Flair [18] – a library containing effective models for solving natural language processing tasks, such as named entity recognition, part-of-speech tagging, sense … 7. DeepPavlov [10] – a framework for chatbots and virtual assistants development, written in Python …
Natural Language Processing Approach to Identify Analogous Data in Offline Data Repository
N Chandra, SK Khatri, S Som – System Performance and Management …, 2019 – Springer
… organizing and structuring knowledge to perform tasks such as free text classification by summarization, spam detection, Part of speech tagging, co-reference … Using natural language processing techniques, intelligent chatbot can be created using deep learning techniques …
A Hybrid Approach of Deep Semantic Matching and Deep Rank for Context Aware Question Answer System
SY Xie, CH Chang, Z Zhang, Y Mo, LX Jiang… – aclclp.org.tw
… Our implementation ideas are word segmentation, part-of-speech tagging, dependency syntax analysis, subject-predicate … Jun Huang, Wei Chu, 2017, AliMe Chat: A Sequence to Sequence and Rerank based Chatbot Engine, ACL 2017 pages 498-503 …
Towards Better Understanding of Spontaneous Conversations: Overcoming Automatic Speech Recognition Errors With Intent Recognition
P ?elasko, J Mizgajski, M Morzy, A Szymczak… – arXiv preprint arXiv …, 2019 – arxiv.org
… When humans are aware that the other party is a machine (as is the case in dialogue chatbot interfaces), they tend to speak in short, well-structured turns following the subject-verb- object (SVO) sentence structure with a minimal use of relative clauses (Hill et al., 2015) …
An Architecture for Dynamic Conversational Agents for Citizen Participation and Ideation
S Ahmed – researchgate.net
… During each transaction with the Chat- bot, an utterance is sent to the Chatbot’s understanding unit to parse and interpret … task-oriented Chatbot. Processing Method Chatbots can be further classified according to the way the process input and gen- erate output …
Understanding Each-Other: Engineering Challenges and Opportunities for Users and Systems in the Deep Learning Era.
LD Spano – EICS Workshops, 2019 – pdfs.semanticscholar.org
… the development of conversational interfaces such as text- based chat-bots or vocal … Core receives a simplified representation of the user’s commands including part of speech tagging, handling synonyms … H., Chi, T., Williams, R.: Getting virtu- ally personal: chatbots who actively …
Semantic matching of open texts to pre-scripted answers in dialogue-based learning
? Ru?e?i, R Lala, G Gu?u-Robu, M Dasc?lu… – … Conference on Artificial …, 2019 – Springer
… It incorporates pre-trained Dutch semantic models for part-of-speech tagging and dependency parsing … sequence-to-sequence methods that drive many conversational AI chatbots, without sacrificing … TL: A procedure for studying online conversational processing using a chat bot …
VocaBot: Language Learning App Powered by a Conversational Agent
C Lee, KJ Jo, J Kim – ?? HCI ?? ????, 2019 – dbpia.co.kr
… We utilized NLP technology, such as Part-of-Speech tagger [12], to extract key nouns that learners should acquire to discuss on the selected … Stage 2: Conversation with Chatbot Learners engage in a conversation with the chatbot using the same scenario from which the words …
Deep learning for nlp and speech recognition
U Kamath, J Liu, J Whitaker – 2019 – Springer
… multi- task learning techniques extensively. This case study explores multitask learning techniques for NLP tasks such as part-of-speech tagging, chunking, and named entity recognition and analysis. Readers should expect to …
Natural language processing
R Akerkar – Artificial Intelligence for Business, 2019 – Springer
… Basic NLP tasks include tokenization and parsing, lemmatization/stemming, part-of-speech tagging, language detection and identification of semantic relationships … Chatbots have been in the market for several years, but the newer ones have a better understanding of language …
A dynamic speaker model for conversational interactions
H Cheng, H Fang, M Ostendorf – Proceedings of the 2019 Conference of …, 2019 – aclweb.org
Page 1. Proceedings of NAACL-HLT 2019, pages 2772–2785 Minneapolis, Minnesota, June 2 – June 7, 2019. c 2019 Association for Computational Linguistics 2772 A Dynamic Speaker Model for Conversational Interactions …
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 … Having part-of- speech tagging feature will help with the inverted sentences. 5.2.2 Mis-understand Number and Special Characters …
An attentive survey of attention models
S Chaudhari, G Polatkan, R Ramanath… – arXiv preprint arXiv …, 2019 – arxiv.org
… Young et al., 2018] for multi- ple tasks such as Machine Translation, Question Answering, Sentiment Analysis, Part-of-Speech tagging, Constituency Parsing … 4.2 Memory Networks Applications like question answering and chat bots require the ability to learn from information …
Deep Learning for Natural Language Processing: Solve your natural language processing problems with smart deep neural networks
KR Bokka, S Hora, T Jain, M Wambugu – 2019 – books.google.com
Page 1. Deep Learning for Natural Language Processing Solve your natural language processing problems with smart deep neural networks Karthiek Reddy Bokka, Shubhangi Hora, www.packt.com Tanuj Jain and Monicah Wanbugu Page 2 …
Topic Judgment Helps Question Similarity Prediction in Medical FAQ Dialogue Systems
L Zhu, X Dai, Q Huang, H Xiang… – … Conference on Data …, 2019 – ieeexplore.ieee.org
… chatbots) [4]. A task-oriented system is specific to a domain ie, it solves … the model in the “classifier training” part of this section; (4) Turing chatbot API6, which … the data pre-processing stage (including word segmentation, stop words removal, part-of-speech tagging, and question …
Towards generating stylized image captions via adversarial training
OM Nezami, M Dras, S Wan, C Paris… – Pacific Rim International …, 2019 – Springer
… 8]; they have the practical purpose of enhancing the engagement level of users in social applications (eg, chatbots) [14], and … To analyze the quality of language generated by our models, we extract all generated adjectives using the Stanford part-of-speech tagger software [25 …
Automatic summarization of medical conversations, a review
J Lopez – TALN-RECITAL 2019-PFIA 2019, 2019 – hal.archives-ouvertes.fr
… In this serious game, the student establishes a conversation with the chatbot to establish its diagnostic about the medical condition of the patient … CoRR, abs/1802.10137. SMITH L., RINDFLESCH T. & WILBUR W. (2004). Medpost : A part-of-speech tagger for biomedi- cal text …
ASAPPpy: a Python Framework for Portuguese STS.
J Santos, A Alves, HG Oliveira – ASSIN@ STIL, 2019 – ceur-ws.org
… by FCT’s INCoDe 2030 initiative, in the scope of the demon- stration project AIA, “Apoio Inteligente a empreendedores (chatbots)” … several tools have been used for the extraction of morpho-syntactic features, including tokenization, part-of-speech tagging, lemmatization, phrase …
Evaluating Random Forest and a Long Short-Term Memory in Classifying a Given Sentence as a Question or Non-Question
F Ankaräng, F Waldner – 2019 – diva-portal.org
… for the success of many NLP systems in recent years, across tasks including named entity recognition, part-of-speech tagging, parsing, and … One study found some key elements that contributes to users trusting the chatbot.[23] The key elements included the chatbots level of …
From words to pixels: text and image mining methods for service research
FV Ordenes, S Zhang – Journal of Service Management, 2019 – emerald.com
… As such, according to a Gartner (2018) report, business analytics tools that can deal with text and image data, such as natural language processing, computer vision, machine learning, deep neuronal nets and chatbots are of critical interest to firms …
Reliable classification of FAQs with spelling errors using an encoder-decoder neural network in Korean
Y Jang, H Kim – Applied Sciences, 2019 – mdpi.com
… Frequently asked questions (FAQs) in commercial services based on social media (eg, chatbot for online banking) accommodate both customer needs and … The authors of [12] proposed a part-of-speech tagging model based on an RNN in which each word is represented by a …
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
… As we will see, several of these components play a role in our processing pipeline. Genia Tagger [13] has been frequently used both for part of speech tagging and named entity recognition (NER) in the BioNLP domain. For …
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 … level features for both the text and audio branches has been proposed in previous decades, such as the bag of words and part-of-speech tagging for text …
A Deep Learning Based Autonomous Mobile Robotic Assistive Care Giver.
A Khan, M Bahrami, Y Anwar – HealthCom, 2019 – researchgate.net
… of both: a smart conversational agent, for reminiscence and health monitoring and a chatbot, with ability to … such as Artificial neural networks, will be applied to learn the part of speech tagging rules from an … Q/A systems aim to produce an answer such as AliMe Chat bot [36], our …
Survey on publicly available sinhala natural language processing tools and research
N de Silva – arXiv preprint arXiv:1906.02358, 2019 – arxiv.org
Page 1. 1 Survey on Publicly Available Sinhala Natural Language Processing Tools and Research Nisansa de Silva Abstract— Sinhala is the native language of the Sinhalese people who make up the largest ethnic group of Sri Lanka …
Informatics in Medicine Unlocked
FL Bello, H Naya, V Raggio, A Rosá – researchgate.net
… As we will see, several of these components play a role in our processing pipeline. Genia Tagger [13] has been frequently used both for part of speech tagging and named entity re- cognition (NER) in the BioNLP domain. For …
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 and fitting it in a predesigned conversational … Since this book is about building an enterprise chatbot, we will focus more on the applications of PUG in natural … Part-of-speech tagging …
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 … human interaction [4]. Traditionally most of these systems use the tried methods of parsing, part-of-speech tagging, etc that … [4] Silvia Quarteroni, “A Chatbot-based Interactive …
Natural Language Processing for Government: Problems and Potential
Y Wijeratne, N de Silva, Y Shanmugarajah – 2019 – researchgate.net
… Page 9. 8 2 Thesis: a case for NLP 2.2.3 Automated crime reporting and government chatbots … A similar example is OpenDataKC2, a government of Kansas City chatbot that can find in- formation from Kansas’s City’s open data archive3 on request …
Food Ordering System based on Human Computer Interaction and Machine Learning Techniques
A Sajnani, N Patel – Asian Journal For Convergence In Technology …, 2019 – asianssr.org
… 5. Seq2Seq as chatbot [7 … 1) Tokenizing 2) Stop Words 3) Stemming 4) Part of Speech Tagging 5) Chunking 6) Lemmatizing 7) Named Entity Recognition … com/farizrahman4u/seq2seq [7] wildml [Online] Available: http://www.wildml.com/2016/04/deep- learning-for-chatbots-part-1 …
The Implementation of Conversation Bot for Smart Home Environment
CY Lu – … : Theory, Technologies and Applications (FC 2018), 2019 – books.google.com
… usage. We use openNLP [29] as the basic natural language processing engine to segment words and part-of-speech tagging. Based … beings. Until now, we use LINE as the chat bot platform to implement our proposed system. However …
An Evaluation Of A Linguistically Motivated Conversational Software Agent Framework
K Panesar – Journal of Computer-Assisted Linguistic Research, 2019 – riunet.upv.es
… A range of NLP tasks manipulated via the language model will include tokenisation, sentence splitting, part-of-speech-tagging, morphological analysis … as the yearly Loebner prize) to demonstrate human-like conversation with four times winner ‘Mitsuku’ Chatbot (Worswick 2018 …
CHAPTER FIFTEEN FUNCTIONAL LINGUISTIC BASED MOTIVATIONS FOR A CONVERSATIONAL SOFTWARE AGENT KULVINDER PANESAR
K Panesar – Linguistic Perspectives on the Construction of …, 2019 – books.google.com
… The dialogue system (DS) component is a more refined “intelligent” version of a Chatbot, where the NL input must be … A range of NLP manipulations include tokenisation, sentence splitting, part-of-speech-tagging, morphological analysis, syntactic and semantic parsing …
Application of Bluetooth Low Energy Beacons and Fog Computing for Smarter Environments in Emerging Economies
M Sun, KM Kamoto, Q Liu, X Liu, L Qi – Cloud Computing, Smart Grid and …, 2019 – Springer
… These language models can be built using various methods and then deployed for use as part of various language services such as translation, part-of-speech tagging, chatbots, etc. We therefore propose an integrated BLE beacon fog computing architecture …
A QA-pair generation system for the incident tickets of a public ICT Shared Service Center
M Lammers – 2019 – essay.utwente.nl
… In customer service, chatbots arise that answer customer questions based on most often … A chatbot or virtual agent is a system that can answer questions of users … lemmatization, spelling correction, noise removal, n-gram creation, word embeddings, and part-of-speech tagging …
Text mining for big data analysis in financial sector: A literature review
M Peji? Bach, Ž Krsti?, S Seljan, L Turulja – Sustainability, 2019 – mdpi.com
… bank). Lemmatization uses PoS (Part-of-Speech) tagging to identify grammatical categories. This feature can be useful in the parsing algorithms to detect the correct POS word or to extract the sequence of words (N-grams) …
FastText-Based Intent Detection for Inflected Languages
K Balodis, D Deksne – Information, 2019 – mdpi.com
… Deep learning methods generally require a large amount of training data, which is not the typical case for chatbots … The chatbot dataset contains users’ questions from a Telegram chatbot that answers questions related to public transport connections …
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 …
A big data approach to examining social bots on Twitter
X Liu – Journal of Services Marketing, 2019 – emerald.com
… Tagging and tokenization are performed with a software tool called Stanford CoreNLP (Manning et al., 2014 … Second, in this digital age, the rising trends of providing superior customer experiences include using artificial intelligence systems, chat bots or big data analytics to gain …
Nlsc: Unrestricted natural language-based service composition through sentence embeddings
OJ Romero, A Dangi, SA Akoju – 2019 IEEE International …, 2019 – ieeexplore.ieee.org
Page 1. NLSC: Unrestricted Natural Language-based Service Composition through Sentence Embeddings Oscar J. Romero Machine Learning Department Carnegie Mellon University 5000 Forbes Av., Pittsburgh Ankit Dangi …
Learning from Others’ Experience
S Höhn – Artificial Companion for Second Language …, 2019 – Springer
… phrases that can be used by the user are offered in (Stewart and File, 2007) where a chatbot helps the … AIML chatbots are easy to use and to configure; therefore there are attempts to improve very limited … 2010) who addressed the problem of Part-of-Speech-tagging (POS-tagging …
Vietnamese Question Classification based on Deep Learning for Educational Support System
BT Hung – 2019 19th International Symposium on …, 2019 – ieeexplore.ieee.org
… 319 Page 4. Fig.5 LINDA Chatbot for Educational Support System … 2013 [11] Wang P, Qian Y, Soong FK, He L, Zhao H. “Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Recurrent Neural Network”. Cornell University. 2015 [12] Xin Li and Dan Roth …
A Scheme for Factoid Question Answering over Knowledge Base
B HAPPY, T AMAGASA – db-event.jpn.org
… Recently, Question Answering has also been applied in developing chat- bots[1] and … a pipeline of conventional linguistic- based NLP techniques, such as part-of-speech tagging, pars- ing … References [1] S. Quarteroni, ”A chatbot-based Interactive Question An- swering System …
A Property Graph Data Model for a Context-Aware Design Assistant
R Pinquié, P Véron, F Segonds, T Zynda – IFIP International Conference …, 2019 – Springer
… We do not guess how this service will be implemented – eg Chatbot, recommendation engine, search engine, (un … In addition to the part-of-speech tagging, natural language processing techniques (sentence splitting, tokenization, lemmatization, and stemming) enable us to …
Towards an Ontology of Cognitive Assistants
T Maier, J Menold, C McComb – Proceedings of the Design Society …, 2019 – cambridge.org
… 1960s, MIT’s Artificial Intelligence Laboratories developed the first natural language processing computer program or chatbot, as we … Sirius’s question-answering service uses regular-expression matching, word stemming, and part-of-speech tagging to classify and understand …
Artificial Intelligence and Computer Vision
S Gollapudi – Learn Computer Vision Using OpenCV, 2019 – Springer
… Answering queries or help is used in medicine or retail services, for example in chat bots. Speech recognition helps analyze and understand automatically the context in a conversation with humans … Input: Starting, Started, Start. Output: Start. Part-of-speech tagging …
Automatic documentation of results during online architectural meetings
O Klymenko – 2019 – 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 …
Big data text mining in the financial sector
MP Bach, Ž Krsti?, S Seljan – Expert Systems in Finance: Smart …, 2019 – books.google.com
… needs, quality analytics, sentiment analysis, best offer, through gamification, chat- bots, etc … Lemmatization uses PoS (Part-of- Speech) tagging to identify grammatical categories … answering system, speech recognition, natural lan- guage generation, chatbot conversation, machine …
An Intelligent Platform with Automatic Assessment and Engagement Features for Active Online Discussions
MLF Cheong, JYC Chen, BT Dai – International Conference on Industrial …, 2019 – Springer
… To implement our system for other courses, the Q&A corpus and chat bot question bank related to the course will need to be … stop words removal; word stemming; trim and count the number of URL references and number of Excel formulas; part of speech tagging; and natural …
Automatic Comprehension of Customer Queries for Feedback Generation
NE Okwunma – 2019 – academia.edu
… recognised user queries and map them to FAQs, 2. A tool called CNSBot was developed; an intelligent chat bot that chats with a user and responds to their queries, Page 16. Chapter 1. Introduction … retrieval problem). The system uses rule-based part-of-speech tagger to first as …
Assessing Italian disinformation spread on Twitter during the 2019 European elections
A Artoni – 2019 – politesi.polimi.it
… 8 2.1.3 Part of Speech tagging . . . . . 8 2.1.4 Sentiment Analysis … wt,d = tft,d × idft 2.1.3 Part of Speech tagging It is commonly attributed to Dionysius Thrax of Alexandria (c. 100 BC) the first description of modern linguistic vocabulary …
A Bayesian Transition Network Topic Model for Inferring Conceptual Networks
N Beauchamp – polmeth.mit.edu
… Our previous work designed a number of approaches, including (1) a dynamic graphical interface, (2) a chatbot, and (3) requesting short free-text … dynamic graphical interfaces or chatbots. (3) encompasses a set of related approaches, all of …
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 … The model has become the de facto approach for sequence prediction tasks such as speech recognition, and part-of-speech tagging …
Features that predict the acceptability of java and javascript answers on stack overflow
OP Omondiagbe, SA Licorish… – Proceedings of the …, 2019 – dl.acm.org
… We use Textblob10, a python library, to assign a polarity score to each of the answers. Textblob was chosen because it provides a simple API for performing most natural language processing (NLP) tasks; for instance, part-of-speech tagging [25] …
An E Learning Applications in Natural Language Processing
YSK SWAMY – 2019 – shodhgangotri.inflibnet.ac.in
… management of the natural language, with a basic knowledge written in the AIML language (ChatBot), with a PABX (Private Automatic Branch eXchange) software for the VoIP phone … extractor is made up of three modules: tokenization; part-of-speech tagging; noun phrase …
A survey on question answering systems over linked data and documents
E Dimitrakis, K Sgontzos, Y Tzitzikas – Journal of Intelligent Information …, 2019 – Springer
… In contrast, the Documents case, requires NLP and NLU (Natural Language Understanding) techniques eg POS (Part-of-Speech) tagging, NER (Named Entity … We can distinguish such systems to chatbots which are used mainly for fun (starting from the 1966 system ELIZA 1966 …
A review of the analytics techniques for an efficient management of online forums: An architecture proposal
J Peral, A Ferrandez, H Mora, D Gil… – IEEE Access, 2019 – ieeexplore.ieee.org
… discussions. The method presented in Mora et al. [20] also uses NLP techniques (Part-of-Speech tagging, partial parsing and semantic enrichment) to extract the relevant topics discussed in the online course forums. Furthermore …
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 … Classifying words or parts of sentences is done by part-of-speech tagging (for example … Consensus is not clear on whether a chatbot is synonymous to conversational agent …
A survey of natural language generation techniques with a focus on dialogue systems-past, present and future directions
S Santhanam, S Shaikh – arXiv preprint arXiv:1906.00500, 2019 – arxiv.org
… independently hand-crafted grammar. One of the drawbacks of this method was not using a part-of-speech tagger and using a mechanism of making a union of all the synonyms from the synset. While the traditional approaches …
A Comprehensive Review of Ethical Frameworks in Natural Language Processing
PF North – 2019 – scss.tcd.ie
… There are many different subtopics associated with NLP, including, but not limited to, Natural Language Understanding (NLU), Natu- ral Language Generation (NLG), Part-of-speech tagging, coreference resolution, sentiment analysis and speech recognition …
Assessing the factual accuracy of generated text
B Goodrich, V Rao, PJ Liu, M Saleh – Proceedings of the 25th ACM …, 2019 – dl.acm.org
… Typical fact extraction pipelines are a multistage process consist- ing of part-of-speech tagging, named entity recognition [5, 7, 9] that produces entities {ei } and then relation classification that predicts a relation rk for every pair of entities (ei ,ej ) …
A comparative analysis of machine comprehension using deep learning models in code-mixed hindi language
S Viswanathan, MA Kumar, KP Soman – Recent Advances in …, 2019 – Springer
… Question classification is another important aspect of traditional QA systems which deals with categorizing the type of questions [1]. One of the major application of QA system are conversational models referred as chat-bots, it has a vital role in business perspective as they …
Deep learning for spoken dialogue systems: application to nutrition
MB Korpusik – 2019 – dspace.mit.edu
Page 1. Deep Learning for Spoken Dialogue Systems: MAACrHUSETTSZ 11NT1TUTE: Application to Nutrition r ECHNLOGY by JUN 13 201. Mandy Barrett Korpusik jA E BS, Franklin W. Olin College of Engineering (2013) ARCHIVES …
Computational Linguistics: Analysis of The Functional Use of Microsoft Text Word Processor Text Corrector
PCD Silva, RLP Teixeira, VOAV Boas – International Journal of …, 2019 – ceeol.com
… can best support the various activities that comprise programming.Today, computational linguistics is subdivided into some areas such as: corpus linguistics, syntactic analysis, part-of-speech tagging, knowledge representation … The chatbot – a chat robot that simulates a Page 10 …
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] … [16], by proposing a novel technique based on part-of-speech tagging and sentiment-driven detection …
Question Answering in the Biomedical Domain
V Nguyen – Proceedings of the 57th Annual Meeting of the …, 2019 – aclweb.org
… Question answering is fundamental in high- level tools such as chatbots (Qiu et al., 2017; Yan et al., 2016; Amato et al., 2017 … However, these meth- ods failed to capture complex semantic informa- tion due to a reliance on effective part-of-speech tagging and were not attractive …
Contextual language understanding Thoughts on Machine Learning in Natural Language Processing
B Favre – 2019 – hal-amu.archives-ouvertes.fr
… General purpose dialog agents, also known as “chatbots”, are a good example of how … The ELIZA chatbot (Weizenbaum 1976) or contestants to the Loeb- ner Prize competition (Stephens … rules, which made the success, for example, of the Brill part-of-speech tagger (Brill 1992) …
Ontological Traceability using Natural Language Processing
E Rosa Benitez – 2019 – dspace.library.uu.nl
… 21 3.2 Convolutional neural network representation . . . . . 26 4.1 Layers of linguistic description . . . . . 33 4.2 Example of part-of-speech tagging . . . . . 34 4.3 Syntactic parse tree meta model …
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 …
A Review of the Analytics Techniques for an Efficient Management of Online Forums: An Architecture Proposal
J Peral Cortés, A Ferrández, H Mora, D Gil… – 2019 – rua.ua.es
… discussions. The method presented in Mora et al. [20] also uses NLP techniques (Part-of-Speech tagging, partial parsing and semantic enrichment) to extract the relevant topics discussed in the online course forums. Furthermore …
Stylometry in the Modern Era: Coreference and Voice for Authorship Attribution
YS Cho, S Sharpe, H Smith – ourpropeller.com
… uses of AA include formulating book recommendations or even applying the ‘writ- ing style’ captured via AA in automated chatbot responses … our word n- grams and kept only the top 100 most common n-grams2. We performed tokenization, part-of- speech tagging, parsing, and …
Detection of Difficult for Understanding Medical Words using Deep Learning
H Pylieva – 2019 – er.ucu.edu.ua
Page 1 …
TEXT ANALYTICS METHODS FOR SENTENCE-LEVEL SENTIMENT ANALYSIS
N Zou – 2019 – trepo.tuni.fi
… Many talking machines named Chatbot, such as Alexa developed by Amazon, can manage complicated interactions with … typically utilizes syntax techniques such as lemmatization, morphological segmentation, word segmenta- tion, part-of-speech tagging, parsing, sentence …
Mobile Technology for Gamification of Natural Language Grammar Acquisition
M Purgina – 2019 – u-aizu.repo.nii.ac.jp
… outcomes. The equivalent of ChemCollective in language learning would be a virtual character (chatbot), able to discuss a range of predefined topics or engage in a free dialog with the user, and provide different kinds of feedback …
A Comparison of Fake News Detecting and Fact-Checking AI Based Solutions
A Školkay, J Filin – Studia Medioznawcze, 2019 – ceeol.com
… Most of the feature space is composed by automated text analysis, part of speech tagging, semantic networks, and grammar parsing. Crowdsourcing is required in tagging reference material, not in the extraction of features … The chatbot inside the system checks every new item …
Meshing Capability and Threat-based Science and Technology (S and T) Resource Allocation
C Lipizzi, D Verma, G Korfiatis, D Borrelli, F Capela… – 2019 – apps.dtic.mil
… Visualization integration. Various visualizations are integrated in a unified dashboard, which contains wide post-processing capabilities to allow for user interfacing. Voice interaction (“chatbots”) may be added. Sub-Task 1.2-6 – Evaluation • Predictive portion …
What you say and how you say it: Joint modeling of topics and discourse in microblog conversations
J Zeng, J Li, Y He, C Gao, MR Lyu, I King – Transactions of the Association …, 2019 – MIT Press
… Further, the joint effects of topics and discourse will contribute to better understanding of social media conversations, benefiting downstream tasks such as the management of discussion topics and discourse behavior of social chatbots (Zhou et al., 2018) and the prediction of …
Towards a Performant Multilingual Model Based on Ensemble Learning to Enhance Sentiment Analysis
O Manad, T Menouer, P Darmon – 2019 IEEE/ACS 16th …, 2019 – ieeexplore.ieee.org
… The most techniques used in lexicon normalization for the pre-processing tasks are tokenization, lemmatization, stem- ming, part-of-speech tagging, sentence splitting, etc (see [44] for further details) … Also, to preparing an interactive model for chatbots agents …
Recurrent neural models and related problems in natural language processing
S Zhang – 2019 – papyrus.bib.umontreal.ca
… Le quatri`eme article aborde le probl`eme du manque de personnalité des chatbots. Le jeu de données persona-chat que nous proposons ii Page 3 … The fourth article tackles the problem of the lack of personality in chatbots …
Marketer’s Guide to the Algorithm–Using Machine Learning to Enhance Marketing
J Heimo – 2019 – aaltodoc2.org.aalto.fi
… has bought before. Recurrent neural networks are also used to power chatbots that have the possibility to address nuanced customer inquiries and needs (Chui et al. 2018) … customer opinions, geotags, image classification and satellite images. Part-of-speech tagging and an …
Information extraction from short text messages
A Abbas, J Holmberg – LU-CS-EX 2019-18, 2019 – lup.lub.lu.se
… Subsequent versions have added such things as LTE support, group chat functionality, IP voice calls, geolocation push, chatbots, and more (Van … They noted that because the part-of-speech tagger they used was trained on newspaper text, it performed poorly on SMS messages …
Artificial intelligence for business
R Akerkar – 2019 – Springer
Page 1. SPRINGER BRIEFS IN BUSINESS 123 Rajendra Akerkar Arti cial Intelligence for Business Page 2. SpringerBriefs in Business Page 3. More information about this series at http://www.springer.com/series/8860 Page 4. Rajendra Akerkar Artificial Intelligence for Business …
An innovative user-attentive framework for supporting real-time detection and mining of streaming microblog posts
A Cuzzocrea, G Pilato – Soft Computing, 2019 – Springer
Page 1. Soft Computing https://doi.org/10.1007/s00500-019-04478-2 METHODOLOGIES AND APPLICATION An innovative user-attentive framework for supporting real-time detection and mining of streaming microblog posts A. Cuzzocrea1 · G. Pilato2 …
Artificial Companion for Second Language Conversation
S Höhn – 2019 – Springer
Sviatlana Höhn Artificial Companion for Second Language Conversation Chatbots Support Practice Using Conversation Analysis Page 2 … Sviatlana Höhn Artificial Companion Conversation for Second Language Chatbots Support Practice Using Conversation Analysis Page 4 …
Computing Science and Mathematics University of Stirling
S Frazzetto – 2019 – stefano-frazzetto.s3.eu-west-3 …
… particularly useful for tasks like summarising large quantities of text, creating chat bots for businesses, and detection of plagiarism … datasets, such as Bag-of-Words (BoW), Lemmatisation, Stemming, Part-of-Speech tagging (POS), Term …
Artificial intelligence for the early design phases of space missions
A Berquand, F Murdaca, A Riccardi… – 2019 IEEE …, 2019 – ieeexplore.ieee.org
… All Grakn projects can be found in the Grakn blog, https://blog.grakn.ai/ (eg, Biology applications, chatbots, movie recommenders). The popularity of the software and users satisfaction are witnessed by the recent introduction of Grakn in both Google and Amazon Cloud …
MessageOnTap: A Suggestive Interface to Facilitate Messaging-related Tasks
F Chen, K Xia, K Dhabalia, JI Hong – … of the 2019 CHI Conference on …, 2019 – dl.acm.org
… MessageOnTap first uses Google Natural Language API [32] for part-of-speech tagging (noun, verb, etc) and named entity recognition (classi- fying texts into pre-defined categories such as person names, organizations, locations) on messages on the current screen, extracting …
Corpus linguistics for online communication: A guide for research
LC Collins – 2019 – books.google.com
… In the 1960s, Joseph Weizenbaum published details on a program called ELIZA1 (Weizenbaum, 1966) that we might now recognise as a Chatbot and which used relatively simple pattern matching to formulate seemingly appropriate conversational responses …
The Structure of Reasoning: Measuring Justification and Preferences in Text
S Shugars – sarahshugars.com
… Stop words and words which do not have trained embeddings are excluded from the analysis. Furthermore, using part of speech tagging, pronouns and other referent words are replaced … interactive network drawing program, a simulated conversation via chatbot – were inspired …
Semantic and Discursive Representation for Natural Language Understanding
D Sileo – 2019 – tel.archives-ouvertes.fr
… Under- standing the needs of humans paves the way for their automatic fulfilment (as in chatbot systems, robotics or information retrieval) … erating costs. Some tasks can rely on other tasks; for instance, a chatbot system (1-1c) can be decomposed into modules …
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] …
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 …
Neural Approaches to Sequence Labeling for Information Extraction
I Bekoulis – 2019 – biblio.ugent.be
Page 1. Page 2. Page 3. Neural Approaches to Sequence Labeling for Information Extraction Neurale netwerkoplossingen voor het labelen van tekstsequenties bij informatie-extractie Ioannis Bekoulis Promotoren: prof. dr. ir. C. Develder, dr. ir …
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
A Korhonen, D Traum, L Màrquez – … of the 57th Annual Meeting of the …, 2019 – aclweb.org
Page 1. ACL 2019 The 57th Annual Meeting of the Association for Computational Linguistics Proceedings of the Conference July 28 – August 2, 2019 Florence, Italy Page 2. Diamond Sponsors: Platinum Sponsors: ii Page 3. Gold sponsors: Keiosk Analytics Silver sponsors …
Topic modelling of Finnish Internet discussion forums as a tool for trend identification and marketing applications
I Särkiö – 2019 – aaltodoc.aalto.fi
… Text analytics is a broad term covering methods for drawing information from text and converting text into useful data for analysis. This includes eg document retrieval, part-of-speech tagging, topic modelling, sentiment analysis and others …
Design and Implementation of a Web-Based Software for the OPC Unified Architecture Integrated into a Semantic Ques-tion Answering in the Domain of Smart …
O Oruc – researchgate.net
Page 1. Department of Computer Science Data Management System Group Master Thesis Design and Implementation of a Web-Based Software for the OPC Unified Architecture Integrated into a Semantic Ques- tion Answering in the Domain of Smart Factory Orcun Oruc …
Machine Learning from Casual Conversation
A Mohammed Ali – 2019 – stars.library.ucf.edu
… 2.1 Conversational Agents and Chatbots There is a long history of studying conversational agents and chatbots. The earliest known chatbot was ELIZA [132], which was designed to emulate a Rogerian therapist. To provide its responses …
Enriching a question-answering system with user experience concepts
LV Simons – 2019 – dspace.library.uu.nl
… consideration to produce a single answer as a response. This is different from question-answering through a chatbot, in which a dialog is produced. Dialogs are not in scope. ? The use of the word ‘handling’ is intentionally because …
Hybrid Machine Learning Models of Classifying Residential Requests for Smart Dispatching
T Chen, J Sun, H Lin, Y Liu – Cyberspace Data and Intelligence, and Cyber …, 2019 – Springer
… These requests are through phone calls, emails and chatbots sent to metropolitan residential service centers that employ Human … LTP consists of six Chinese processing modules, including (1) Word Segmentation (WordSeg); (2) Part-of-Speech Tagging (POSTag); (3) Named …
Towards Literate Artificial Intelligence
M Sachan – 2019 – ml.cmu.edu
Page 1. Towards Literate Artificial Intelligence Mrinmaya Sachan June 2019 CMU-ML-19-110 Machine Learning Department School of Computer Science Carnegie Mellon University Pittsburgh, PA Thesis Committee Eric P. Xing, Chair Jaime Carbonell Tom Mitchell Dan Roth …
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) … The first part of the algorithm performs part-of-speech tagging on the reviews, and extracts all of the sentences that contain adjectives and …
A Systematic Approach for Automatically Answering General-Purpose Objective and Subjective Questions
LP Acharya – 2019 – repository.lib.fit.edu
… 1960s by the MIT Artificial Intelligence Laboratory to demonstrate the communication between humans and machines. Similar to a chatbot, ELIZA uses pattern matching and substitution methodologies to simulate conversations. DOCTOR is an example of a script …
Enhanced answer selection in CQA using multi-dimensional features combination
H Fan, Z Ma, H Li, D Wang, J Liu – Tsinghua Science and …, 2019 – ieeexplore.ieee.org
Page 1. TSINGHUA SCIENCE AND TECHNOLOGY ISSNll1007-0214 09/10 pp346–359 DOI: 10.26599/TST.2018.9010050 Volume 24, Number 3, June 2019 Enhanced Answer Selection in CQA Using Multi-Dimensional Features Combination …
Unsupervised Text Representation Learning with Interactive Language
H Cheng – 2019 – digital.lib.washington.edu
… Page 25. 14 (aka chatbots) have been developed for entertainment, companionship and education purpose … Signif- icantly different from task-oriented systems and chatbots, Alexa Prize socialbots are developed with the goal of discussing popular topics and recent events …
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 …
Opinion Analysis in Interactions: From Data Mining to Human-Agent Interaction
C Clavel – 2019 – books.google.com
… 8 1.3.2. The WoZ H–A negotiation corpus . . . . . 9 1.3.3. The UE-HRI human–robot corpus . . . . . 10 1.4. Written H–A corpus: chatbot . . . . . 15 1.5. Comparative study of different corpora …
Question Generation with Adaptive Copying Neural Networks
X Lu – 2019 – curve.carleton.ca
… For example, dialog systems in chatbots are currently drawing significant attention. Siri, Apple’s voice assistant, is a good application of chatbots that can talk with people as if they were human. Medical chatbots will soon function as assistants …
Anemone: a Visual Semantic Graph
J Ficapal Vila – 2019 – diva-portal.org
… Part of Speech tagging is then placed on top of the stack to give the grammatical tags to a Dependency Parser that will output the syn- tactic dependency … 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 …
TOPIC MODELLING, SENTIMENT ANALSYS AND CLASSIFICATION OF SHORT-FORM TEXT
CJOFI PURCHASES, L STOYANOVA, W WALLACE – 2019 – local.cis.strath.ac.uk
… SciPy. Textblob – a Python library for processing textual data, which provides a simple API for common NLP tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more …
Learn Computer Vision Using OpenCV
S Gollapudi – 2019 – Springer
… Answering queries or help is used in medicine or retail services, for example in chat bots … Example Part-of-speech tagging this is a technique to identify different parts of speech and tag them as noun, verb, adjective, preposition, pronoun, and so on …
Doménov?-specifická adaptace NER
B Jakovcheski – 2019 – dspace.cvut.cz
… text. It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution. These … from. 1.1.2.6 Chatbot NER Chatbot …
The art of bots: A practice-based study of the multiplicity, entanglements and figuration of sociocomputational assemblages
M Plummer-Fernandez – 2019 – core.ac.uk
… Austinpowers chatbot to promote the movie of the same name (ibid). The multifunctional personal assistant Smarterchild was the leading product of ActiveBuddy, a company specialised in instant messaging chatbots. In 2002, the website runabot.com …
Towards Interactive Advisory System for Security Export Control
A Obayashi, R Rzepka23 – researchmap.jp
… We developed an interactive Slack chatbot11 prototype to show the feasibil- ity of the new decision support system … They propose grammati- cal rules used to extract Deontic expressions from legal doc- uments using part-of-speech tagging and grammar analysis, and we plan to …
Understanding the online behavior of bots: a systematic code review
A Millimaggi – 2019 – politesi.polimi.it
… On the messaging platform, there are plenty of chatbots that help users in various ways … For instance, Microsoft Tay, a chatbot developed to talk with mil- lennials on Twitter [48], suddenly started to post … Each question is then annotated using a PoS (Part of Speech) tagger …
Classification-based approach for Question Answering Systems: Design and Application in HR operations
LMA Heijden – 2019 – essay.utwente.nl
… These can be either so-called dialogue managers, where the chatbot responds based on a humanly designed way to certain intents defined by humans during the design [16, 17, 18]. Other chatbots generate answers using machine learning techniques such as …
SYNTHNOTES: TOWARDS SYNTHETIC CLINICAL TEXT GENERATION
KA Brown – 2019 – trace.tennessee.edu
… intelligence research for decades. Among the most famous examples is the ELIZA [5] chatbot developed at the MIT Artificial Intelligence lab in the 1960’s. Using only the 2 … Over the following decades, NLG applications have moved beyond simple chatbot programs and have …
On language and structure in polarized communities
M Lai – 2019 – riunet.upv.es
Page 1. Universitat Politècnica de València Departamento de Sistemas Informáticos y Computación Tesis de Doctorado en Informática Mirko Lai Language and Structure in Polarized Communities Directores de Tesis Giancarlo …
Artificial Intelligence: Modern Magic Or Dangerous Future?
Y Wilks – 2019 – books.google.com
… Sunday? JUDGE 4: Yes, I did. I think it may all be a publicity stunt for Ellen [DeGeneres]. That output is now over twenty years old, and there hasn’t been a great deal of advance since then in the performance of such ‘chatbots’. This …
Making Corporations More Humane Through Artificial Intelligence
MR Siebecker – J. Corp. L., 2019 – HeinOnline
… techniques .. .[including] Part-of-Speech tagging, Named Entity Recognition, and Parsing.”). 52. See id. at 13 (“Animals are able to process (visual or other) information from their environment and react adaptively to a changing situation …
Using Machine Learning and Graph Mining Approaches to Improve Software Requirements Quality: An Empirical Investigation
M Singh – 2019 – search.proquest.com
… Many studies have shown applications of NLP at providing automated solutions (eg summarization of text blocks [40], [41]), and development of Chat bots (a deep learning model that interacts with humans) [42] … text is called ‘part of speech tagging’ (POS tagging) …
Uncertainty Measures and Transfer Learning in Active Learning for Text Classification
TOS Oftedal – 2019 – ntnuopen.ntnu.no
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 …
ICTAI 2019
YM Boumarafi, Y Salhi – computer.org
… University), and Liang He (East China Normal University) Sentence-Level Semantic Features Guided Adversarial Network for Zhuang Language Part-of-Speech Tagging 265 Zhixin Li (Guangxi Normal University), Yaru Sun …
Bibliography on Weihrauch complexity
V Brattka, DD Dzhafarov, A Marcone… – Dagstuhl Reports, Vol …, 2019 – drops.dagstuhl.de
Page 23. Vasco Brattka, Damir D. Dzhafarov, Alberto Marcone, and Arno Pauly 21 6 Bibliography on Weihrauch Complexity For an always up-to-date version of this bibliography see http://cca-net. de/publications/ weibib. php …
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 …