Word-sense Disambiguation & Dialog Systems 2015


Word-sense Disambiguation

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Best Word-sense Disambiguation VideosDialog Systems | Sentence Boundary Disambiguation & Dialog SystemsTasks Of Natural Language Processing


Towards addressing the winograd schema challenge-building and using a semantic parser and a knowledge hunting module A Sharma, NH Vo, S Aditya, C Baral – Proceedings of Twenty- …, 2015 – researchgate.net … Word Sense Disambiguation [Basile et al., 2007] along with the lexical senses from WordNet [1995] are used for this task. … Deep linguistic pro- cessing for spoken dialogue systems. In Proceedings of the Workshop on Deep Linguistic Processing, pages 49– 56. ACL, 2007. … Cited by 8 Related articles All 10 versions

[BOOK] Natural Language Processing and Cognitive Science: Proceedings 2014 O Acosta, C Aguilar, N Abdullah, M Amsler, EF Ayetiran… – 2015 – books.google.com … Dataset| 27 Rocco Tripodi, Marcello Pelillo, and Rodolfo Delmonte An Evolutionary GameTheoretic Approach to Word Sense Disambiguation| 39 Merley S … and Poor Counselors| 187 Raimo Bakis, Ji?í Havelka, and Jan Cu?ín Meta-Learning for Fast Dialog System Habituation … Cited by 1 Related articles All 4 versions

Recent Approaches to Arabic Dialogue Acts Classifications AA Elmadany, SM Abdou, M Gheith – 4th International Conferences …, 2015 – academia.edu … Building Arabic dialogue systems (Spoken or Written) has gained an increasing interest in the last few. … Text-to-speech (TTS), Part-Of-Speech (POS) tagging, Word Sense Disambiguation, and Machine Translation (ML) can be enumerated among a longer list of applications that … Cited by 2 Related articles All 3 versions

Similarity computation using semantic networks created from web-harvested data E Iosif, A Potamianos – Natural Language Engineering, 2015 – Cambridge Univ Press … The remainder of the work is organized as follows: In Section 2, we review related work in the areas of semantic similarity computation and word sense disambiguation. In Section 3 co-occurrence and context-based similarity metrics are reviewed. … Cited by 22 Related articles All 4 versions

Semantic Similarity Graphs of Mathematics Word Problems: Can Terminology Detection Help?. RJL John, RJ Passonneau, TS McTavish – International Educational Data …, 2015 – ERIC … 9. REFERENCES [1] V. Aleven, A. Ogan, O. Popescu, C. Torrey, and KR Koedinger. Evaluating the effectiveness of a tutorial dialogue system for self-explanation. … [7] JF Cai, WS Lee, and YW Teh. NUS-ML: Improving word sense disambiguation using topic features. … Cited by 1 Related articles All 3 versions

Distributional semantics in use R Bernardi, G Boleda, R Fernández… – Workshop on Linking …, 2015 – aclweb.org … been successfully applied, among other things, to the task of choos- ing the correct response to a tweet, while Vinyals and Le (2015) and Sordoni et al.(2015) use neural models to generate responses for online dialogue systems and tweets … Word sense disambiguation: A survey … Cited by 1 Related articles All 15 versions

Data Driven Methods for Adaptation of ASR Systems AA BABU, A ANANDARAO – IAENG Transactions on Engineering …, 2015 – books.google.com … 3. Khaled Abdalgadar and Andrew Skabar,“Unsupervised similarity-based word sense disambiguation using context vectors and sentential word … Lee and Maxine Eskenazi,“An Unsupervised Approach to User Simulation: Toward Self-Improving Dialog Systems”, Proceedings … Cited by 1 Related articles All 2 versions

Big Data–Driven Natural Language–Processing Research and Applications V Gudivada, D Rao, V Raghavan – Big Data Analytics, 2015 – books.google.com … NER results are used in other tasks and applications including co-reference resolution, word-sense disambiguation, semantic parsing, QA, dialog systems, textual entailment, information extraction (IE), information retrieval, and text summarization. … Cited by 3 Related articles

[BOOK] Language Production, Cognition, and the Lexicon N Gala, R Rapp, G Bel-Enguix – 2015 – Springer … cast a new light on evaluating semantic relatedness by considering the task of word sense disambiguation; Yorick Wilks … a resource integrating a linguistically motivated ontology; Kristiina Jokinen describes an interactive open-domain spoken dialog system generating speech … All 7 versions

Interactive Relational Reinforcement Learning of Concept Semantics M Nickles, A Rettinger – Learning, 2015 – researchgate.net … Navigli, R. 2009. Word sense disambiguation: A survey. ACM Comput. Surv. … Rieser, V., and Lemon, O. 2011. Reinforcement learning for adaptive dialogue systems: a data-driven methodology for dialogue management and natural language generation. Springer. … Related articles All 3 versions

Semi-Supervised Approach to Named Entity Recognition in Spanish Applied to a Real-World Conversational System SS Bojórquez, VM González – … , Mexico City, Mexico, June 24-27, …, 2015 – books.google.com … 1. Then: sT= argmax s? S (VT, s)(8) st? 1= Ptr (st, t)(9) 3 Data We propose an implementation of the Viterbi algorithm to tag every word in a conversation with a real-world dialog system. … Also, they have been sense annotated with the Word Sense Disambiguation algorithm UKB. … Related articles

State of the Research in Human Language Technology K Megerdoomian – Citeseer … Thus, papers dealing with Machine Translation (MT) evaluation and Word Sense Disambiguation specifically designed for MT are all tagged as … Another trend is the use of discourse analytics, especially in dialogue systems and Automatic Speech Recognition (ASR) applications … Related articles All 5 versions

Labeling Sequential Data Based on Word Representations and Conditional Random Fields X Wang, B Xu, C Li, W Ge – International Journal of Machine …, 2015 – search.proquest.com … 14, pp. 315-332, 1992. [15] D. Yarowsky, Unsupervised word sense disambiguation rivaling supervised methods, in Proc. … Her research interests include pattern recognition, neural networks, machine learning, natural language processing, and spoken dialog systems. … Related articles All 3 versions

Using Ontology-Based Context in the Portuguese-English Translation of Homographs in Textual Dialogues D Moussallem, R Choren – arXiv preprint arXiv:1510.01886, 2015 – arxiv.org … applications [7]. There are several solutions that achieving good results, but the focus of this work is apply the disambiguation in dialogue systems. Therefore, Works like Carput and Wu [8], Chiang et. al. [9] and others that are quite important to word sense disambiguation do not … Related articles All 6 versions

Judging the Quality of Automatically Generated Gap-fill Question using Active Learning NB Niraula, V Rus – Silver Sponsor, 2015 – anthology.aclweb.org … Association for Computational Linguistics. Jinying Chen, Andrew Schein, Lyle Ungar, and Martha Palmer. 2006. An empirical study of the behavior of active learning for word sense disambiguation. … 2015. Rapidly scal- ing dialog systems with interactive learning. 206 Cited by 1 Related articles All 9 versions

Educational Knowledge Management System Using NLP and Ontology Schema PS Deshmukh, RA Rane – ijetmas.com … Many Natural Language Processing (NLP) techniques, including stemming, part of-speech tagging, compound recognition, de-compounding, chunking, word sense disambiguation and others, have … [31] Y. cheng Pan and L. shan Lee, “Type-ii dialogue systems for information … Related articles

Semi-Supervised Approach to Named Entity Recognition in Spanish Applied to a Real-World Conversational System VR Martínez, LE Pérez, F Iacobelli… – Mexican Conference on …, 2015 – Springer … 3 Data. We propose an implementation of the Viterbi algorithm to tag every word in a conversation with a real-world dialog system. … Also, they have been sense annotated with the Word Sense Disambiguation algorithm UKB. … Related articles All 2 versions

SpeakerLDA: Discovering Topics in Transcribed Multi-Speaker Audio Contents D Spina, JR Trippas, L Cavedon… – Proceedings of the Third …, 2015 – dl.acm.org … [4] J. Boyd-Graber, DM Blei, and X. Zhu. A topic model for word sense disambiguation. In Proceedings of EMNLP’07, 2007. … A strategy for information presentation in spoken dialog systems. Computational Linguistics, 37(3):489–539, 2011. [9] L. Du, W. Buntine, and M. Johnson. … Related articles All 7 versions

Identifying Various Kinds of Event Mentions in K-Parser Output A Sharma, NH Vo, S Aditya… – Proceedings of the 3rd …, 2015 – anthology.aclweb.org … 2007. Deep linguistic processing for spoken dialogue systems. In Proceedings of the Workshop on Deep Linguistic Processing, pages 49– 56. … 2007. The jigsaw algorithm for word sense disambiguation and semantic indexing of documents. … Cited by 1 Related articles All 13 versions

Spoken Term Detection and Spoken Word Sense Induction on Noisy Data J Chiu – 2015 – cs.cmu.edu … 11 2.1.1 Word Recurrence in Dialogue Systems . . . . . … 5 Page 18. 1.3.2 Spoken Word Sense Induction Task Introduction Word Sense Disambiguation (WSD) is the task of identifying which sense of a word is used in a sentence, when the word has multiple meanings. … Related articles

Etymological Annotation: a New Concept of Corpus Annotation NS Dash – academia.edu … The basic goal of this type of annotation is to distinguish primary lexicographic senses of words – a process used in word sense disambiguation and assignment of semantic … In: Dafydd, G., I. Mertins & RK Moore (eds.) Handbook of Multimodal and Spoken Dialogue Systems. … Related articles

NLP-Assisted Model Generation M Soeken, R Drechsler – Formal Specification Level, 2015 – Springer … This algorithm implements the subroutine wsd(w) that performs dictionary-based word sense disambiguation for the word w based on WordNet and returns … For this purpose, the database is queried for entries of the form CENTRY(w, Unsure, A). Using a dialog system the user … Related articles

Towards a Cognitive Natural Language Processing Perspective B Sharp – Language Production, Cognition, and the Lexicon, 2015 – Springer … build a natural language understanding system in their attempt at addressing the problem that most dialogue systems suffer from … combined annotating and parsing techniques with semantic role labelling and constraint based construction with word sense disambiguation and co … Related articles All 5 versions

Evaluation of Lexical-Based Approaches to the Semantic Similarity of Malay Sentences (the final version of this paper appeared in JOURNAL OF … SA Noah, N Omar, AY Amruddin – LINGUISTICS, 2015 – researchgate.net … Their work focused on short sentences which are featured in applications such as conversational agents and dialogue systems. Results from their experiments showed that the proposed method provides similarity measures that are fairly consistent with human knowledge. … Related articles

Corpus Annotation and Usable Linguistic Features AC Fang, J Cao – Text Genres and Registers: The Computation of …, 2015 – Springer … Examples of practical applications include word sense disambiguation, sentiment analysis, domain identification, term extraction, spatio-temporal annotation, event … of dialogue participants and offer valuable insight into the design of human–machine dialogue systems (Bunt et al …

Evaluation of lexical-based approaches to the semantic similarity of Malay sentences SA Noah, N Omar, AY Amruddin – Journal of Quantitative …, 2015 – Taylor & Francis … Karov, Y., & Edelmen, S. (1998). Similarity-based word sense disambiguation. Computational Linguistics, 24(1), 41–59. … Their work focused on short sentences which are featured in applications such as conversational agents and dialogue systems. … Related articles All 4 versions

A Survey of Arabic Dialogues Understanding for Spontaneous Dialogues and Instant Message ARA Elmadany, SM Abdou, M Gheith – arXiv preprint arXiv:1505.03084, 2015 – arxiv.org … System Output: the dialogue system export two different outputs based on its type; first, a text when use a written dialogues … Text-to-speech (TTS), Part-Of-Speech (POS) tagging, Word Sense Disambiguation, and Machine Translation (ML) can be enumerated among a longer list … Cited by 2 Related articles All 6 versions

A proposal for the development of adaptive spoken interfaces to access the Web D Griol, JM Molina, Z Callejas – Neurocomputing, 2015 – Elsevier … word detection [89], word sense disambiguation [90], associative memory models [91], language model estimation for speech recognition [92], spoken language understanding [93], or question-answering [94]. 3. Proposed framework to develop adaptive spoken dialog systems. … Related articles All 3 versions

Improving Indian Language Dependency Parsing by Combining Transition-based and Graph-based Parsers BVS Kumari, RR Rao – International Journal of Computer …, 2015 – search.proquest.com … words. Parsing is useful in major NLP applications like Machine Translation, Dialogue systems, text generation, word sense disambiguation etc. This led to the development of grammar-driven, data-driven and hybrid parsers. … Related articles All 6 versions

[BOOK] Sentic computing: a common-sense-based framework for concept-level sentiment analysis E Cambria, A Hussain – 2015 – books.google.com … Examples of the second domain will include, but not limited to: computational and psychological models of emotions, bodily manifestations of affect (facial expressions, posture, behavior, physiology), and affective interfaces and applications (dialogue systems, games, learning … Cited by 42 Related articles All 2 versions

Towards a Hybrid Approach to Semantic Analysis of Spontaneous Arabic Speech C LHIOUI, A ZOUAGHI, M ZRIGUI – researchgate.net … In the same context, [25] used also a Bayesian stochastic approach to speech semantic composition in Human/Machine dialogue systems. … Shallow rule-based parsers are often characterized by a two-step process: pattern recognition step and word sense disambiguation … Related articles All 3 versions

Improving Telugu Dependency Parsing using Combinatory Categorial Grammar Supertags B Kumari, RR Rao – ACM Transactions on Asian and Low-Resource …, 2015 – dl.acm.org … words. Parsing is useful in major natural language processing applications like machine translation, word sense disambiguation, dialog systems, etc. This has led to the development of rule-based, statistical, and hybrid parsers. … Related articles

Text Summarization and Speech Synthesis for the Automated Generation of Personalized Audio Presentations S Lawless, P Lavin, M Bayomi, JP Cabral… – … on Applications of …, 2015 – Springer … is a growing demand for increased expressiveness of synthetic speech that is beyond what can be currently produced [12], eg audiobooks, spoken dialogue systems, etc. … Augat, M., Ladlow, M.: An NLTK Package for Lexical-Chain Based Word Sense Disambiguation (2009). 24. … Cited by 1 Related articles All 3 versions

Learning to recognize affective polarity in Similes A Qadir, E Riloff, MA Walker – Association for Computational Linguistics ( …, 2015 – aclweb.org … Ashequl Qadir and Ellen Riloff School of Computing University of Utah Salt Lake City, UT 84112, USA {asheq,riloff}@cs.utah.edu Marilyn A. Walker Natural Language & Dialogue Systems Lab University of California Santa Cruz Santa Cruz, CA 95064, USA mawalker@ucsc.edu … Cited by 2 Related articles All 12 versions

Topics, Trends, and Resources in Natural Language Processing (NLP) M Bansal – Citeseer Page 1. Topics, Trends, and Resources in Natural Language Processing (NLP) Mohit Bansal TTI-Chicago (CSC2523, ‘Visual Recognition with Text’, UToronto, Winter 2015 – 01/21/2015) (various slides adapted/borrowed from Dan Klein’s and Chris Manning’s course slides) … Related articles All 2 versions

Automatic Speech Recognition-A Literature Survey on Indian languages and Ground Work for Isolated Kannada Digit Recognition using MFCC and ANN SB Harisha, S Amarappa, DSV Sathyanarayana – International Journal of … – eslibrary.org … above mentioned parameters. Plauche, M. et al. (2006) [108] presented an inexpensive approach for gathering the linguistic resources needed to power a simple spoken dialog system. Ganesh, AA et al. (2013) [109] introduced … Cited by 2 Related articles All 2 versions

Data-driven deep-syntactic dependency parsing M BALLESTEROS, B BOHNET… – Natural Language …, 2015 – Cambridge Univ Press Page 1. Natural Language Engineering: page 1 of 36. c Cambridge University Press 2015 doi:10.1017/S1351324915000285 1 Data-driven deep-syntactic dependency parsing† MIGUEL BALLESTEROS1, BERND BOHNET2 … Cited by 2 Related articles All 3 versions

Measuring the impact of translation on the accuracy and fluency of vocabulary acquisition of English O Saz, Y Lin, M Eskenazi – Computer Speech & Language, 2015 – Elsevier This article assesses the impact of translation on the acquisition of vocabulary for higher-intermediate level students of English for Speakers of Other Languag. Related articles All 3 versions

Sentiment analysis: Detecting valence, emotions, and other affectual states from text SM Mohammad – Emotion Measurement, 2015 – books.google.com … Brand management, customer relationship management, and stock market: Sentiment analysis of blogs, tweets, and Facebook posts is already widely used to shape brand image, track customer response, and in developing automatic dialogue systems for handling cus … Cited by 13 Related articles All 4 versions

[BOOK] Formal Specification Level M Soeken, R Drechsler – 2015 – Springer … sentences. An implementation concept for the first approach is given as the integrated development environment lips which particularly focuses on the dialog system for the information transfer between the designer and the computer. … Cited by 3 Related articles All 5 versions

Measuring Semantic Relatedness using Mined Semantic Analysis W Shalaby, W Zadrozny – arXiv preprint arXiv:1512.03465, 2015 – arxiv.org … dictionary Systemic functional linguistics Textalytics Semantic relatedness Bracketing Quantitative linguistics Lemmatisation Natural language processing Indigenous Tweets Internet linguistics Statistical semantics Grammar induction Treebank Dialog systems Light verb … Related articles All 3 versions

Natural Language Processing for Social Media A Farzindar, D Inkpen – Synthesis Lectures on Human …, 2015 – morganclaypool.com … Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Introduction to Chinese Natural Language Processing Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang 2009 … Cited by 4 Related articles All 5 versions

Content-based Tweets Semantic Clustering and Propagation MA Michalakos – 2015 – repository.ihu.edu.gr Page 1. I Content-based Tweets Semantic Clustering and Propagation Marios Aristotelis Michalakos SID: 3301130014 SCHOOL OF SCIENCE & TECHNOLOGY A thesis submitted for the degree of Master of Science (MSc) in Information and Communication Systems … Related articles

[BOOK] Text Genres and Registers: The Computation of Linguistic Features CA Fang, J Cao – 2015 – books.google.com … 31541110215). The au- thors would also like to acknowledge supports received from the Dialogue Systems Group, Department of Linguistics and Translation, and the Halliday Centre for In- telligent Applications of Language Studies, City University of Hong Kong. … Related articles

Sentic Computing E Cambria, A Hussain – Cognitive Computation, 2015 – Springer … Examples of the second domain will include, but not limited to: computational and psychological models of emotions, bodily manifestations of affect (facial expressions, posture, behavior, physiology), and affective interfaces and applications (dialogue systems, games, learning … Cited by 2 Related articles All 8 versions

[BOOK] NLTK essentials N Hardeniya – 2015 – books.google.com … translation 65 Information retrieval 65 Boolean retrieval 66 Vector space model 66 The probabilistic model 67 Speech recognition 68 Text classification 68 Information extraction 70 Question answering systems 70 Dialog systems 71 Word sense disambiguation 71 Topic … All 6 versions

[BOOK] Computational Linguistics and Intelligent Text Processing: 16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015, Proceedings A Gelbukh – 2015 – books.google.com … Natural language generation 3 8 38 Plagiarism detection and authorship attribution 3 13 23 Speech processing 3 21 14 Summarization 3 12 25 Word sense disambiguation 2 10 … 348 Rivindu Perera and Parma Nand A Dialogue System for Telugu, a Resource-Poor Language … Related articles All 2 versions

Unsupervised extraction of semantic relations using discourse information J Conrath – 2015 – thesesups.ups-tlse.fr Page 1. THÈSE En vue de l’obtention du DOCTORAT DE L’UNIVERSITÉ DE TOULOUSE Présentée et soutenue le 14/12/2015 par : Juliette Conrath Unsupervised extraction of semantic relations using discourse information Directeurs de Thèse : … Related articles

Novel Methods for Text Preprocessing and Classification T Gasanova – 2015 – deutsche-digitale-bibliothek.de … 87 2.17 Co-Operation of Biology Related Algorithms (COBRA) . . . . 89 3.1 Overview of Spoken Dialogue Systems . . . . . 105 4.1 Common diagramm of text preprocessing and text classification . . . . . … Related articles

[BOOK] Artificial Superintelligence: A Futuristic Approach RV Yampolskiy – 2015 – books.google.com Page 1. ARTIFICIAL SUPERINTELLIGENCE ROMANV.YAMPOLSKIY A CHAPMAN & HALL BOOK A FUTURISTIC APPROACH Page 2. Page 3. ARTIFICIAL SUPERINTELLIGENCE A FUTURISTIC APPROACH Page 4. Page 5. … Cited by 4 Related articles All 2 versions

Effective use of cross-domain parsing in automatic speech recognition and error detection MA Marin – 2015 – digital.lib.washington.edu … information, we attempt to detect their location and extent (within the ASR hypothesis), as well as the type, in order to handle them effectively during the subsequent clarification request made by the dialog system component. In particular we are interested in two types … Cited by 2 Related articles All 2 versions