Notes:
- Sentic computing
Wikipedia:
References:
- Artificial Superintelligence: A Futuristic Approach (2015)
- Formal Specification Level: Concepts, Methods, and Algorithms (2015)
- Language Production, Cognition, and the Lexicon (2015)
- Natural Language Processing and Cognitive Science: Proceedings 2014 (2015)
- NLTK Essentials (2015)
- Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis (2015)
- Text Genres and Registers: The Computation of Linguistic Features (2015)
See also:
Best Word-sense Disambiguation Videos | Dialog Systems | Sentence Boundary Disambiguation & Dialog Systems | Tasks Of Natural Language Processing
IntelliBot: A Dialogue-based chatbot for the insurance industry
M Nuruzzaman, OK Hussain – Knowledge-Based Systems, 2020 – Elsevier
… When a chatbot is used by a business to answer users’ queries with a specific goal or focus on the completion of certain tasks requested by their customers, it is referred to as a service-based chatbot. Such chatbots are domain-specific and may use one of the above-mentioned …
“Talking” Triples to Museum Chatbots
S Varitimiadis, K Kotis, D Spiliotopoulos… – … Conference on Human …, 2020 – Springer
… A clear statement of KGs as a part of AI chatbot is provided at the proposed … to AI Chatbots and Q/A systems is a task that can boost the AI chatbots effectiveness … Word Sense Disambiguation (WSD) and Name Entity Recognition (NER) for the learning of ontologies from text, are …
LSTM based Ensemble Network to enhance the learning of long-term dependencies in chatbot
S Patil, VM Mudaliar, P Kamat, S Gite – International Journal for …, 2020 – ijsmdo.org
… 3 Dataset. 3.1 Data source. Dataset plays a prominent role in making the conversation with chatbots as realistic as possible. For this purpose, we have to teach the chatbot model how to understand the text entered by a user and how to answer back …
Analysis and Implementation of Odia Part of Speech Tagger in recent IoT based devices through Chatbot: A review
R Sahoo, BR Das, BK Mishra – 2020 International Conference …, 2020 – ieeexplore.ieee.org
… Keywords: Tagging, Chatbot, Corpus, IoT … Part of discourse tagging additionally called as syntactic labelling or word sense disambiguation is the way towards making up the word in a book relating to a specific grammatical feature, in preview of the two of its definition for example …
Learning sense representation from word representation for unsupervised word sense disambiguation (student abstract)
J Wang, Z Fu, M Li, H Zhang, D Zhao… – Proceedings of the AAAI …, 2020 – ojs.aaai.org
… Moro, A.; Raganato, A.; and Navigli, R. 2014. Entity linking meets word sense disambiguation: a unified approach. TACL 2:231–244 … Berlin, Ger- many: ACL. Yan, R. 2018. ” chitty-chitty-chat bot”: Deep learning for conver- sational ai. In IJCAI, volume 18, 5520–5526. 13948
Value propositions of chatbots to support innovation management processes
F Johannsen, D Schaller, MF Klus – Information Systems and e-Business …, 2020 – Springer
… We address this gap by identifying value propositions of chatbots to support a company’s innovation management process … This study contributes to a better understanding of the benefits of chatbot usage for the innovation management process. Motivation …
The Construction and Annotation of a Semantically Enriched Database: The Mandarin VerbNet and Its NLP Applications
M Liu – From Minimal Contrast to Meaning Construct, 2020 – Springer
… For instance, in developing chatbots, it requires good semantic matching and identification of discourse acts … In the following, a case study is presented to show how Mandarin VerbNet can help with Word Sense Disambiguation (WSD) with much higher performace …
Optimized Transformer Models for FAQ Answering
S Damani, KN Narahari, A Chatterjee, M Gupta… – Pacific-Asia Conference …, 2020 – Springer
… provide correct information instantly at much lower operating costs, retrieval-based chatbots that can … of mere 31 ms making it usable in real-time chatbot scenarios … complex NLP tasks like text classification, textual entailment, machine translation, word sense disambiguation, etc …
Question generation
C Room – algorithms, 2020 – devopedia.org
… Chatbots trained on QG can ask relevant questions in an ongoing dialogue. Often questions are generated from available answers … For English vocabulary assessment, QG systems could use WordNet, web searches and Word Sense Disambiguation …
Efficacy of Deep Neural Embeddings based Semantic Similarity in Automatic Essay Evaluation
M Hendre, P Mukherjee, R Preet… – International Journal of …, 2020 – journal.uob.edu.bh
… In tasks like sentiment Analysis, Chatbot, Question Answering, Automatic Essay Evaluation, Dialogue Systems, Parsing, Word- sense disambiguation, Named-Entity Recognition, POS Tagging and many more, we are observing good results [3,13,33] …
Natural Language Understanding
C Room – algorithms, 2020 – devopedia.org
… Word Sense Disambiguation: Looking at the context of word usage, figure out the correct sense since a word can have multiple senses … When combined with NLG , other tasks that require NLU are question answering, text summarization, chatbots, and voice assistants …
Embeddings in Natural Language Processing: Theory and Advances in Vector Representations of Meaning
MT Pilehvar… – Synthesis Lectures on …, 2020 – morganclaypool.com
… Conversational AI: Dialogue Systems, Conversational Agents, and Chatbots Michael McTear 2020 … For instance, Word Sense Disambiguation deals with identifying the intended meaning of a word in a given context, coreference resolution is focused on resolving anaphoric …
A new dataset for natural language inference from code-mixed conversations
S Khanuja, S Dandapat, S Sitaram… – arXiv preprint arXiv …, 2020 – arxiv.org
… NLI is an important requirement for chatbots and con … HYPOTHESIS: Mother told C0 to quarrel like animals. (False) • Word Sense Disambiguation : There exist several examples requiring the model to resolve the meaning of the word in context of its usage …
Living Machines: A study of atypical animacy
MC Ardanuy, F Nanni, K Beelen, K Hosseini… – arXiv preprint arXiv …, 2020 – arxiv.org
… Inspired by previous research on distributional semantic models for word sense disambiguation … The term ‘humanness’ is used differently in other research fields, for instance when evaluating the performance of a chatbot (Svenningsson and Faraon, 2019) …
Interpretable Natural Language Segmentation Based on Link Grammar
V Ramesh, A Kolonin – 2020 Science and Artificial Intelligence …, 2020 – ieeexplore.ieee.org
… to-text (STT) recognition engines, which are often used to preprocess the inputs of question answering or chatbot pipelines, and … Semantic, or word sense, disambiguation—a solution to the grammatical ambiguity problem—determines which “sense” or definition of a word is …
Tools and Methodology for Converting Natural Language into RDF Representations
O Loia, E Kamateri, PD Vasileiadis – academia.edu
… 3.3.2 Word Sense Disambiguation and Entity Linking KNEWS uses WordNet to represent concepts and events, DBpedia to represent Named Entities, and FrameNet’s … 3.7 LUIS The advance of conversational chatbots increased the need for natural language understanding …
A Systematic Literature Review of Natural Language Processing: Current State, Challenges and Risks
E Ghazizadeh, P Zhu – Proceedings of the Future Technologies …, 2020 – Springer
… NLP techniques such as word sense disambiguation, syntactic analysis, and referential resolution are often used in search engines [14] … Its application fields include machine translation, text, voice, image conversion, chatbots, sentimental analysis, text categorization, and …
Impact of Discourse in Modern AI Based NLP Applications
M Halder, M Suresh, S Rao – Smitha Rao, Impact of Discourse in …, 2020 – papers.ssrn.com
… Also a lot of work requires for debugging like TAM (Tense, Aspect and Modality), GNP (Gender Noun or Person) Debugging, WSD (Word Sense Disambiguation) Debugging and Verb Agreement Debugging for the … Chatbots are the typical example of question answering system …
Natural Language Processing: Challenges and Future Directions
Z Kaddari, Y Mellah, J Berrich, MG Belkasmi… – … Conference on Artificial …, 2020 – Springer
… Word sense disambiguation: identifying the meaning of a word according to its context … agent is an NLP system designed to have a conversation with a human being, there are two types of dialogue systems: open-domain dialogue systems like general chatbots or personal voice …
A review of natural language processing techniques for sentiment analysis using pre-trained models
L Mathew, VR Bindu – 2020 Fourth International Conference on …, 2020 – ieeexplore.ieee.org
… Iacobacci Ignacio et.al [8] study how word embedding can be used in word sense disambiguation (WSD) … 1. Transfer Learning The commonly used multi-purpose model in NLP applications include machine translation, question answering systems, chatbots, sentiment analysis …
Advanced Semantics for Commonsense Knowledge Extraction
TP Nguyen, S Razniewski, G Weikum – arXiv preprint arXiv:2011.00905, 2020 – arxiv.org
… ABSTRACT Commonsense knowledge (CSK) about concepts and their prop- erties is useful for AI applications such as robust chatbots … green), and is also prone to word-sense disambiguation prob- lems (eg, elephant trunk vs. car trunk) …
Linguistic Duality
R Nakahodo… – 2020-5th International …, 2020 – ieeexplore.ieee.org
… problems in many tasks such as word disambiguation in machine translation, question- answering in chatbot, text classification … It is successfully implemented in many applications, eg, word sense disambiguation, information retrieval, text summarization, text categorization, etc …
Natural language processing: an overview
H Amini, F Farahnak, L Kosseim – Frontiers, 2020 – World Scientific
… singing voice. Word Sense Disambiguation (WSD) is the task of identifying the sense of a word in its context. For … fluently. Two types of conversational agents have been developed: task-oriented bots and chatbots. Task-oriented …
Recent developments for the linguistic linked open data infrastructure
T Declerck, JP McCrae, M Hartung, J Gracia… – Proceedings of the 12th …, 2020 – aclweb.org
… as taggers to full applications such as machine translation systems or chatbots, based on … sense level), and linking corpus data to dictionary senses by means of word sense disambiguation … pilot, the aforementioned application will be developed further into a chatbot pro- viding …
The Boating Store Had Its Best Sail Ever: Pronunciation-attentive Contextualized Pun Recognition
Y Zhou, JY Jiang, J Zhao, KW Chang… – arXiv preprint arXiv …, 2020 – arxiv.org
… These two forms of puns have been studied in literature from different angles. To recognize puns in a sentence, word sense disambiguation tech- niques (WSD) (Navigli, 2009) have been employed to identify the equitable intention of words in utter- ances (Pedersen, 2017) …
Chinese Lexical Semantics: 20th Workshop, CLSW 2019, Beijing, China, June 28–30, 2019, Revised Selected Papers
JF Hong, Y Zhang, P Liu – 2020 – books.google.com
… xiv Contents “Love Is as Complex as Math”: Metaphor Generation System for Social Chatbot … Rao Gaoqi, Xun Endong, and Miao Jingjing Incorporating HowNet-Based Semantic Relatedness Into Chinese Word Sense Disambiguation …
Classification and Clustering of arXiv Documents, Sections, and Abstracts, Comparing Encodings of Natural and Mathematical Language
P Scharpf, M Schubotz, A Youssef, F Hamborg… – Proceedings of the …, 2020 – dl.acm.org
… natural language data [2]. Originally evolving from auto- matic translation – Georgetown experiment [3], and chatbots – ELIZA [4 … speech categorization, author and text genre identification, essay grading, automatic document indexing, word sense disambiguation, and hierarchical …
Dynamic word recommendation to obtain diverse crowdsourced paraphrases of user utterances
MA Yaghoub-Zadeh-Fard, B Benatallah… – Proceedings of the 25th …, 2020 – dl.acm.org
… Dialog systems (also known as virtual assistants, conversational agents, chatbots or simply … For example Microsoft’s chatbot Tay, which quickly made a number of racist, sexist, and o … In a nutshell, Synonym Sets Extractor employs (i) a word sense disambiguation (WSD) method if …
Natural language processing: A literature survey
A Shrivastava, JK Jain – computersciencejournals.com
… hard to imagine a smart system like a voice assistant or a chat-bot or a … the process like semantic analysis (check meaningfulness of a text), word sense disambiguation (determining the … while holding the meaning and message intact Many organizations use chat-bots in their …
Rectifying Incorrectly Part of Speech-Tagged Polysemy Words in Kannada Language for Machine Translation
A Desalli, R Anirudh, N Prajwal Pai… – Journal of …, 2020 – ingentaconnect.com
… With advances in NLP, the applications range from personal- ized chat bots to semantic analysis of tweets to auto- summarization … 2. Parameswarappa, S. and Narayana, VN, 2011. Kannada word sense disambiguation for machine translation …
From Eliza to Siri and Beyond
L Coheur – … on Information Processing and Management of …, 2020 – Springer
… There is a well known NLP task called Word Sense Disambiguation that targets the specific problem of lexical ambiguity … Within hours of being in use, the chatbot was racist, nazi and vulgar, and had to be … A survey on the early chatbots and their contributions can be found in [25 …
Understanding and generating language with abstract meaning representation
M Damonte – 2020 – era.ed.ac.uk
… 12 2.1.2 Word Sense Disambiguation … dren: HAL and door. The output of the NLU component is then passed into an inference component (for example, a dialogue manager in dialogue systems and chatbots), which can reason over the meaning representation. The output …
Understanding EFL Linguistic Models through Relationship between Natural Language Processing and Artificial Intelligence Applications
M Salim Keezhatta – Arab World English Journal (AWEJ) Volume, 2020 – papers.ssrn.com
… Other techniques include word sense disambiguation, or offering to a word a meaning based on its context; natural language generation … engages in reading, deciphering, and making sense of the human languages by machine operations like online chatbots, text summarization …
Using crowdsourced exercises for vocabulary training to expand conceptnet
C Rodosthenous, V Lyding, F Sangati, A König… – Proceedings of The …, 2020 – aclweb.org
… The chatbot communicates via API both to the Telegram server1 and the back-end module responsible for distributing exercises … Ritter et al., 2011), transcribed speech corpora (Callison-Burch and Dredze, 2010; Evanini et al., 2010), word-sense disambiguation (Biemann …
Review of Natural Language Processing in Radiology
JW Luo, JJR Chong – Neuroimaging Clinics, 2020 – neuroimaging.theclinics.com
… POS tagging can thus be the first step toward word sense disambiguation, which refers to the act of distinguishing between different meanings for the same word given a context. 11 Navigli R. Word sense disambiguation: A survey …
An Interpretation of Lemmatization and Stemming in Natural Language Processing
D Khyani, BS Siddhartha, NM Niveditha, BM Divya – jusst.org
… ELIZA, a chatbot was designed by Joseph Weizenbaum to imitate a psychiatrist using … More and more concepts came into existence such as word sense disambiguation, statistical language … words (happy, sad, angry, annoyed, disgusted, irritated,etc.) 2. Chatbots: They are a …
Violence detection explanation via semantic roles embeddings
E Mensa, D Colla, M Dalmasso… – BMC medical …, 2020 – bmcmedinformdecismak …
Emergency room reports pose specific challenges to natural language processing techniques. In this setting, violence episodes on women, elderly and children are often under-reported. Categorizing textual descriptions as containing violence-related injuries (V) vs. non-violence …
Artificial Intelligence Powered Smart Refrigerator to Arrest Food Wastage
T Nagaraju, S BR – Available at SSRN 3565256, 2020 – papers.ssrn.com
… methods that NLP uses with semantics are word sense disambiguation, named entity recognition and natural … storing data in CRM or Inventory: CRM AI features such as Chatbots, etc today … google NLP APIs to process natural language query before CRM chatbot could respond …
Future Data-Driven Regulation
P Treleaven, S Sfeir-Tait – gateway.newton.ac.uk
… segmentation etc.; and semantic analysis for understanding meaning, including Named entity recognition (NER), Word sense disambiguation, Natural language … The impact of ‘analytics’ on automated regulation (see Figure 2) spans: ? Automated guidance – Chatbots and NPL …
NLP for the Greek Language: A Brief Survey
K Papantoniou, Y Tzitzikas – 11th Hellenic Conference on Artificial …, 2020 – dl.acm.org
… This process includes steps like word sense disambiguation, semantic role tagging, named entity recognition and linking, and other tasks … The thesis [38] describes a conversational chatbot system based on public services for a greek web portal called diadikasies.gr to help …
Chichang Jou
MY Day – 2020 – mail.tku.edu.tw
… Text segmentation • Word sense disambiguation • Syntactic ambiguity … Bot Maturity Model 52 Source: https://www.capgemini.com/2017/04/how-can-chatbots-meet-expectations-introducing- the-bot-maturity/ Customers want to have simpler means to interact with businesses and …
Natural language processing
RST Lee – Artificial Intelligence in Daily Life, 2020 – Springer
… favors NLP-based AI applications development such as AI chatbots, customer service … information systems, WordNet is used for various purposes like word-sense disambiguation, information retrieval … processing (NLP) is question-answering robots, or so-called chatbot (Raj 2018 …
Vartani Spellcheck–Automatic Context-Sensitive Spelling Correction of OCR-generated Hindi Text Using BERT and Levenshtein Distance
A Pal, A Mustafi – arXiv preprint arXiv:2012.07652, 2020 – arxiv.org
… “Fuzzy Hindi WordNet and word sense disambiguation using fuzzy graph connectivity measures.” ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) 15.2 (2015): 1-31 … [24] https://www.haptik.ai/tech/open-sourcing-chatbot-ner/ [25] Wolf …
Context based Text-generation using LSTM networks
S Santhanam – arXiv preprint arXiv:2005.00048, 2020 – arxiv.org
… Gale [10] used context based methods for word sense disambiguation … of following a template based approach the model could identify the context from the question and respond meaningfully concerning the context • By keeping track of topics in chat-bots, conversations could …
Artificial Intelligence for Text Analytics
MY Day – 2020 – ntpu.edu.tw
… Text segmentation • Word sense disambiguation • Syntactic ambiguity … Bot Maturity Model 54 Source: https://www.capgemini.com/2017/04/how-can-chatbots-meet-expectations-introducing- the-bot-maturity/ Customers want to have simpler means to interact with businesses and …
Natural language processing with python: natural language processing using NLTK
F Millstein – 2020 – books.google.com
Page 1. o ? — o co — o — — o co – o – o – o – – co oc ? — — o — o — — o — o — o co – o – o – o – – o – d. -> ~ ~ º ~º ~º ~º ~º ~º ~º ~º ~º …
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings
T Cohn, Y He, Y Liu – Proceedings of the 2020 Conference on Empirical …, 2020 – aclweb.org
… 25 Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example Sentences Boon Peng Yap, Andrew Koh and … Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots Jia-Chen Gu, Zhenhua …
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
A Celikyilmaz, TH Wen – Proceedings of the 58th Annual Meeting of the …, 2020 – aclweb.org
… Personalized PageRank with Syntagmatic Information for Multilingual Word Sense Disambiguation Federico Scozzafava, Marco Maru, Fabrizio Brignone, Giovanni Torrisi and Roberto Navigli … A Question-driven News Chatbot Philippe Laban, John Canny and Marti A. Hearst …
Relevance Between Artificial Intelligence and Cognitive Science
C Jin – Proceedings of the 2020 International Symposium on …, 2020 – dl.acm.org
… Moreover, word sense disambiguation is explored through an evolutionary game theory approach by Rocco Tripodi and Marcello Pelillo at Ca’Foscari … Although Siri and other advanced chatbots are able to interact with human relatively smoothly, it cannot be considered as …
Accessibility information needs in the enterprise
S Snider, WL Scott II, S Trewin – ACM Transactions on Accessible …, 2020 – dl.acm.org
… the accessibility chatbot pilot that do not already appear in the FAQ set, and • 97 Expert questions asked of the chatbot and not … This manual approach allowed for matching of different terms for the same concept, and word-sense disambiguation of the terms based on the context …
Named entity recognition and relation detection for biomedical information extraction
N Perera, M Dehmer, F Emmert-Streib – Frontiers in Cell and …, 2020 – frontiersin.org
… involved. For this reason, recent research work (eg, Duque et al., 2018; Wang et al., 2018d; Pesaranghader et al., 2019; Zhang et al., 2019a) discussed techniques for word sense disambiguation in biomedical text mining. Another …
Incentivized Comment Detection with Sentiment Analysis on Online Hotel Reviews
MN Imtiaz, MT Ahmed, A Paul – Authorea Preprints, 2020 – authorea.com
… NLP applications includes semantic analysis, question answering, chatbots, automatic summarization, market intelligence, opinion … speech tagging, word stemming, lemmatization, multiword phrase grouping, synonym normalization, word-sense disambiguation, and anaphora …
Utility of Neural Embeddings in Semantic Similarity of Text Data
M Hendre, P Mukherjee, M Godse – Evolution in Computational …, 2020 – Springer
… In tasks like sentiment analysis, chatbot, question answering, automatic essay evaluation, dialog systems, parsing, word-sense disambiguation, named-entity recognition, POS tagging, and and many more, we are observing good results [1, 4, 14] …
Integration of Fuzzy Logic in Analogical Reasoning: A Prototype
M Colombo, S D’Onofrio… – 2020 IEEE 16th …, 2020 – ieeexplore.ieee.org
… Chatbots – A Conceptual Framework for Using Computational Intelligence and Analogical Reasoning to Smartify Web-based Dialogue Systems,” PhD Thesis, University of Fribourg, Switzerland, 2019. [18] D. Barbella, and KD Forbus, “Analogical Word Sense Disambiguation,” …
A Deep Learning System for Sentiment Analysis of Service Calls
Y Jia, S SungChu – arXiv preprint arXiv:2004.10320, 2020 – arxiv.org
… In ad- dition, service chatbots are widely used to answer customer calls … However, since words are annotated based on their context-free semantic orientation, word-sense disambiguation [12] may occur when the word has multiple mean- ings …
Joint Word Segmentation and Part-of-Speech Tagging for Myanmar Language
DL Cing, KM Soe – 2020 – onlineresource.ucsy.edu.mm
… machine translation, information extraction, speech recognition, grammar checking and word sense disambiguation, etc. are needed to do word segmentation and Part-of … names. • Word sense disambiguation: It includes giving definition to a context- based phrase …
Natural language processing (NLP) in Artificial Intelligence (AI): a functional linguistic perspective
K Panesar – 2020 – bradscholars.brad.ac.uk
… in the Chatbot ‘Mitzuki’ in 2013, 2016, 2017 and 2018, built on Pandorabots: the world’s leading conversational (AI) Chatbot platform. As a thought to the foundations … In other words, a dialogue system is a more refined “intelligent” version of a Chatbot, where the NL input must be …
NATURAL LANGUAGE PROCESSING IN ARTIFICIAL INTELLIGENCE: A FUNCTIONAL LINGUISTIC PERSPECTIVE
K Panesar – The Age of Artificial Intelligence: An Exploration, 2020 – books.google.com
… Firstly, WSD (word sense disambiguation) algorithms to deal with words with similar meanings (polysemy) and to extract their sense, for example, the … net”, 2015) as in the Chatbot ‘Mitzuki’in 2013, 2016, 2017 and 2018, built on Pandorabots: the world’s leading conversational (AI …
Towards a Standardisation of Computational Models of Affect: OWL and Machine Learning
G Tuccini, L Baronti, L Corti… – … . MENTE Journal of …, 2020 – humanamente.eu
… affective terms. We think that this case study is very compelling because of the increase of text interaction, in our everyday life, with AI systems like computers, vocal personal assistants, chatbot and robotics. 2. What is Affect? Affect …
Proceedings of the Global AI Congress 2019
JK Mandal, S Mukhopadhyay – 2020 – Springer
… 61 Roneeta Purkayastha, Tanmay Chakraborty, Anirban Saha and Debarka Mukhopadhyay Question Answering System-Based Chatbot for Health … Sarkar, Arindam Roy and Durba Bhattacharya Bio-molecular Event Trigger Extraction by Word Sense Disambiguation Based …
NATURAL LANGUAGE PROCESSING (NLP) APPLICATIONS IN PATIENT CARE: A SYSTEMATIC ANALYSIS
Z Shen – QRBD, 2020 – faculty.utrgv.edu
… new NLP methods and techniques, such as speech information recognition, semantic labeling, syntactic parsing, word sense disambiguation, negation detection … For example, patient care providers can implement chatbots to automate some of their communications with their …
Black-Box Attacks via the Speech Interface Using Linguistically Crafted Input
M Goldsmith – Information Systems Security and Privacy: 5th …, 2020 – books.google.com
Page 105. Black-Box Attacks via the Speech Interface Using Linguistically Crafted Input Mary K. Bispham (B), Alastair Janse van Rensburg, Ioannis Agrafiotis, and Michael Goldsmith Department of Computer Science, University of Oxford, Oxford OX1 3QD, UK {mary …
A Comparative Theoretical and Empirical Analysis of Machine Learning Algorithms
S Gupta, M Kaur, S Lakra, Y Dixit – Webology, 2020 – webology.org
… The machine learning algorithms can be used to determine abusive and offensive words in sentences, translators (like Google translator), creating chatbots like Alexa and Google Home. In this paper, we will be exploring machine learning algorithms ie supervised and …
Automated domain-specific healthcare knowledge graph curation framework: Subarachnoid hemorrhage as phenotype
KM Malik, M Krishnamurthy, M Alobaidi… – Expert Systems with …, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …
A comprehensive review on feature set used for anaphora resolution
K Lata, P Singh, K Dutta – Artificial Intelligence Review, 2020 – Springer
In linguistics, the Anaphora Resolution (AR) is the method of identifying the antecedent for anaphora. In simple terms, this is the problem that helps to s.
Beneath the tip of the iceberg: Current challenges and new directions in sentiment analysis research
S Poria, D Hazarika, N Majumder… – IEEE Transactions on …, 2020 – ieeexplore.ieee.org
… Applications of sentiment analysis take form in many ways. Fig. 4 presents one such example where a user is chatting with a chit-chat style chatbot. In the conversation, to generate an appropriate response, the bot needs to understand the user’s opinion …
Judge a book by its cover. Generative approach.
V Yuzkiv – 2020 – researchgate.net
… analysis – understanding the meaning of words in a context of the whole text (named entity recognition, word sense disambiguation, natural lan … Some examples of NLP use cases are creating chat-bots, spam filters, fake news recognition, grammar check systems, disease …
Speaking Outside the Box: Exploring the Benefits of Unconstrained Input in Crowdsourcing and Citizen Science Platforms
J Chamberlain, U Kruschwitz, M Poesio – Proceedings of the LREC 2020 …, 2020 – aclweb.org
… trade-off between precise booking and user experi- ence, the former approach is more commonly used than the latter, although the rise of chatbots for a … In a word sense disambiguation task, considerable redesigns were required to get satisfactory results (Hong and Baker, 2011 …
Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases
G Weikum, L Dong, S Razniewski… – arXiv preprint arXiv …, 2020 – arxiv.org
… AI-style use cases include machine translation, and conversational assistants like chatbots. Prominent examples include Amazon’s Alexa, Apple’s Siri, and Google’s Assistant and new chatbot initiatives [2], and Microsoft’s Cortana …
Natural Language Processing, 2000-2019—A Bibliometric Study
RE Lopez-Martinez, G Sierra – Journal of Scientometric Research, 2020 – jscires.org
… The fourth cluster (upper right) has nodes with less occurrences including subtopics and keywords such as information retrieval (413), ontology (388), knowledge (232), word sense disambiguation (152), semantic web (153) and semantic similarity (142) …
Scalable Text Analysis with Efficient Distributed Word Representation
Z Xue – 2020 – escholarship.org
… 2021 Zijun Xue, Ting-Yu Ko, Neo Yuchen, Ming-Kuang Wu, Chu-cheng Hsieh. “Isa: Intuit Smart Agent, A Neural-Based Agent-Assist Chatbot” Accepted by ICDM 2018 Demo Session Zijun Xue, Ruirui Li, Mingda Li. “Recent Progress in Converesational AI.” Accepted by KDD …
Automatic Poetry Classification and Chronological Semantic Analysis
A Rahgozar – 2020 – ruor.uottawa.ca
… 18 2.2.4 Word Sense Disambiguation . . . . . 19 … was done in the 1970s in this area (O’Connor, 2012). For example, chatbot research found that enabling a computer to carry on a conversation and to imitate human dialogue is a difficult task …
An optimization-based deep belief network for the detection of phishing e-mails
M Arshey, AV KS – Data Technologies and Applications, 2020 – emerald.com
… The drawback of the method was that the concept generation along with the word-sense disambiguation methods consumed large time and the dependency on the dictionaries required frequent updates, which was the drawback of the method. Ma et al …
A survey of state-of-the-art approaches for emotion recognition in text
N Alswaidan, MEB Menai – Knowledge and Information Systems, 2020 – Springer
Page 1. Knowledge and Information Systems https://doi.org/10.1007/s10115-020-01449- 0 REGULAR PAPER A survey of state-of-the-art approaches for emotion recognition in text Nourah Alswaidan1 · Mohamed El Bachir Menai1 …
Fusion recurrent neural network
Y Sun, Y Wang, K Fu, Z Wang, C Zhang… – arXiv preprint arXiv …, 2020 – arxiv.org
Page 1. arXiv:2006.04069v1 [cs.LG] 7 Jun 2020 Fusion Recurrent Neural Network Yiwen Sun Department of Automation, Institute for Artificial Intelligence, Tsinghua University (THUAI) Beijing, China syw17@mails.tsinghua.edu.cn …
Proceedings of The 12th Language Resources and Evaluation Conference
N Calzolari, F Bechet, P Blache, K Choukri… – Proceedings of The …, 2020 – aclweb.org
Page 1. LREC 2020 Marseille TWELFTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION May 11-16 , 2020 PALAIS DU PHARO Marseille, France CONFERENCE PROCEEDINGS Editors …
The art of natural language processing: classical, modern and contemporary approaches to text document classification
A Ferrario, M Naegelin – … to Text Document Classification (March 1 …, 2020 – papers.ssrn.com
… well as the possibility of recording customers’ interactions with corporate con- versational assistants (‘chatbots’), provide data … main applications of POS tagging comprise Named Entity Recognition (NER), sentiment analysis, question answering, and word sense disambiguation …
TECo: Automatic Selection and Adaptation of Creative Text in Context
RPP Mendes – 2020 – estudogeral.sib.uc.pt
… 1.1 Context While it is obvious that computers have not yet achieved the full capability of commu- nicating exclusively in natural language, there have been many attempts, such as chatbots or mobile phone personal assistants (eg Siri, Alexa,…) …
Design of a document retrieval system using Transformer-based models and a domain specific ontology
E Mottola, A Vetro, JC De Martin, G Futia, MSH Ehm… – 2020 – webthesis.biblio.polito.it
… Many tasks like text summarization, question answering in chatbots and machine translation exploit this mechanism [10] … Here, the usage of Markov models led to satisfactory results for Word Sense Disambiguation [24] and prepo- sitional phrase attachment [25], too …
Neural Question Generation with Transfer Learning and Utilization of External Knowledge
M Delpisheh – 2020 – yorkspace.library.yorku.ca
Page 1. NEURAL QUESTION GENERATION WITH TRANSFER LEARNING AND UTILIZATION OF EXTERNAL KNOWLEDGE MARJAN DELPISHEH A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL …
Natural Language Interfaces to Databases: A Survey on Recent Advances
G Rivera Zarate – Instituto de Ingeniería y Tecnología, 2020 – 148.210.21.170
… Chapter 5 ChatbotfortheImprovementofConversationalSkillsofJapaneseLanguage Learners … Chapter 6 DevelopingChatbotsforSupportingHealthSelf-Management … Word sense disambiguation is performed by using n-grams …
Comparative Organizational Performance After Economic Reforms: Evidence From Cuba’s Tourist Restaurant Industry
K Prasad – Available at SSRN 3745225 – papers.ssrn.com
… Page 16. 15 VADER incorporates word-sense disambiguation and is also able to account for intensity of preference (such as the “exceptional” vs “good” or “GREAT!!” vs “great”). I use a Python package made available by the authors (github.com/cjhutto/vaderSentiment) …
Human evaluation of automatically generated text: Current trends and best practice guidelines
C van der Lee, A Gatt, E van Miltenburg… – Computer Speech & …, 2020 – Elsevier
Automatic Question Generation for the Portuguese Language
BJC Leite – 2020 – repositorio-aberto.up.pt
Page 1. FACULDADE DE ENGENHARIA DA UNIVERSIDADE DO PORTO Automatic Question Generation for the Portuguese Language Bernardo José Coelho Leite Mestrado Integrado em Engenharia Informática e Computação Supervisor: Henrique Lopes Cardoso …
Illustrated Computational Intelligence
PS Sajja – Springer
Page 1. Studies in Computational Intelligence 931 Priti Srinivas Sajja Illustrated Computational Intelligence Examples and Applications Page 2. Studies in Computational Intelligence Volume 931 Series Editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland …
Rehab-c: Recommendations for energy habits change
C Sardianos, I Varlamis, G Dimitrakopoulos… – Future Generation …, 2020 – Elsevier
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Multilingual identification of offensive content in social media
M Pàmies Massip – 2020 – diva-portal.org
… Among the applications of NLP are machine translators, spell checkers, virtual assistants, chatbots and interactive voice response applications. This project will focus on the sub-field of text classification, which is defined below. 2.1.1 Text classification …
Are we preparing for a good AI society? A bibliometric review and research agenda
SF Wamba, RE Bawack, C Guthrie, MM Queiroz… – … Forecasting and Social …, 2020 – Elsevier
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Does Language Drive the Crowd? Case of Czech Reward-Based Crowdfunding
T Hudcová – 2020 – dspace.cuni.cz
Page 1. CHARLES UNIVERSITY FACULTY OF SOCIAL SCIENCES Institute of Economic Studies Does Language Drive the Crowd? Case of Czech Reward-Based Crowdfunding Master’s thesis Author: Bc. Tereza Hudcová Study program: Economics and Finance …
A Computer-mediated Support for Writing Medical Notes with Coder’s Perspective
H Lukman – 2020 – repository.kulib.kyoto-u.ac.jp
Page 1. Title A Computer-mediated Support for Writing Medical Notes with Coder’s Perspective( Dissertation_?? ) Author(s) Lukman, Heryawan Citation Kyoto University (????) Issue Date 2020-09-23 URL https://doi.org/10.14989/doctor.k22804 Right …
Exploring intelligent functionalities of spoken conversational search systems
S Ghosh – 2020 – rucore.libraries.rutgers.edu
… The conversations between the user and system could be in the form of text (as in the case of chatbots) or audio (as in the case of personal assistants) … Figure 1.2: Size of VDA Market Worldwide. Although text-based conversational chatbots are common, we limit our research to …
Pretrained transformers for text ranking: Bert and beyond
J Lin, R Nogueira, A Yates – arXiv preprint arXiv:2010.06467, 2020 – arxiv.org
… automatically gather training examples to train a classifier in NLP dates back to Yarowsky [1995], in the context of word sense disambiguation.12 Data … In the same vein, for systems that engage in or assist in human dialogue, such as intelligent agents or “chatbots”, one common …
Artificial Intelligence in Accounting: Practical Applications
C Ng, J Alarcon – 2020 – books.google.com
… same task. Examples of narrow AI include chatbots that are built for the narrow purpose of conversation. Chatbots are capable of verbal responses, using algorithms and a database, based on a statement or question. Artificial …
Inferring human personality from written media
WR Wright – 2020 – scholarspace.manoa.hawaii.edu
Page 1. INFERRING HUMAN PERSONALITY FROM WRITTEN MEDIA A DISSERTATION SUBMITTED TO THE GRADUATE DIVISION OF THE UNIVERSITY OF HAWAI’I AT M¯ANOA IN IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF …
Are We Preparing for a Good AI Society? A Bibliometric Review and Research Agenda
S Fosso Wamba, R Bawack, C Guthrie… – A Bibliometric Review …, 2020 – papers.ssrn.com
… AlphaGo XCON expert system Jabberwacky chat bot Google self-driving car … In 1997 the first chatbot, “Jabberwacky” was developed (McNeal & Newyear, 2013), and IBM’s Deep Blue beat the reigning world champion, Garry Kasparov, in a game of chess …
Tackling the Long Tail in Language Understanding
A Naik – 2020 – cs.cmu.edu
… Subsequent years saw the development of ELIZA (Weizenbaum, 1966), a rule-based chatbot that could carry out conversations on many topics, and SHRDLU (Winograd, 1972), a system that could understand simple English sentences in a restricted world of children’s blocks to …
Computational Approaches to Subjective Interpretation of Multimedia Messages
P Blandfort – 2020 – kluedo.ub.uni-kl.de
… On the computational side, we can find related tasks such as word sense disambiguation (ie, given a word in a context decide which particular word sense is most suitable) and resources such as the popular WordNet [33], which groups together words into sets of synonyms and …
Development and implementation of an automotive virtual assistant
L LAVAGNO, A CELESTINO – webthesis.biblio.polito.it
… recognition: when the owners would shout “Rex!”, a little wooden dog would came out of its house [4]. But the first natural language processing computer program, or chatbot, ELIZA, was … Word sense disambiguation, to distinguish the sense of a word based on its context; …
Artificial Intelligence in a Throughput Model: Some Major Algorithms
W Rodgers – 2020 – books.google.com
… APPLICATIONS Image recognition, speech recognition, chatbots, natural language generation … Further, chatbots are already becoming part of big business. Chatbots are implemented to replace automated telephone systems …
The Nature of Leadership in Artificial Intelligence Environments: Reconceptualizing Human and Machine Collaboration
SG Sejera – 2020 – search.proquest.com
Page 1. The Nature of Leadership in Artificial Intelligence Environments: Reconceptualizing Human and Machine Collaboration Submitted to Regent University School of Business & Leadership In partial fulfillment of the requirements for the degree of …
Personalized, narrative and interactive simulation based on a rules-engine system designed to confront caregivers with personalized virtual Alzheimer’s patients and …
L Chauveau – 2020 – archive-ouverte.unige.ch
Page 1. Thesis Reference Personalized, narrative and interactive simulation based on a rules-engine system designed to confront caregivers with personalized virtual Alzheimer’s patients and to train their communicative coping strategy skills CHAUVEAU, Lucie Abstract …