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A Game-Theoretic Approach to Word Sense Disambiguation [PDF]
Computational Linguistics, 2017 This article presents a new model for word sense disambiguation formulated in terms of evolutionary game theory, where each word to be disambiguated is represented as a node on a graph whose edges represent word relations and senses are represented as classes.
TRIPODI, ROCCO, PELILLO, Marcello
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Error driven word sense disambiguation [PDF]
Proceedings of the 36th annual meeting on Association for Computational Linguistics -, 1998 In this paper we describe a method for performing word sense disambiguation (WSD). The method relies on unsupervised learning and exploits functional relations among words as produced by a shallow parser. By exploiting an error driven rule learning algorithm (Brill 1997), the system is able to produce rules for WSD, which can be optionally edited by ...
Luca Dini +2 more
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Evaluating Feature Extraction Methods for Biomedical Word Sense Disambiguation [PDF]
, 2017 Evaluating Feature Extraction Methods for Biomedical WSD Clint Cuffy, Sam Henry and Bridget McInnes, PhD Virginia Commonwealth University, Richmond, Virginia, USA Introduction.
Cuffy, Clint A +2 more
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Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine Translation
, 2018 This paper demonstrates that word sense disambiguation (WSD) can improve neural machine translation (NMT) by widening the source context considered when modeling the senses of potentially ambiguous words.
Henderson, James +3 more
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AutoSense Model for Word Sense Induction
, 2018 Word sense induction (WSI), or the task of automatically discovering multiple senses or meanings of a word, has three main challenges: domain adaptability, novel sense detection, and sense granularity flexibility. While current latent variable models are
Amplayo, Reinald Kim +2 more
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Lexical Chaining and Word-Sense-Disambiguation [PDF]
, 2012 Lexical chains algorithms attempt to find sequences of words in a document that are closely related semantically. Such chains have been argued to provide a good indication of the topics covered by the document without requiring a deeper analysis of the ...
Nelken, Rani, Shieber, Stuart M.
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Knowledge Sources for Word Sense Disambiguation
, 2001 Two kinds of systems have been defined during the long history of WSD: principled systems that define which knowledge types are useful for WSD, and robust systems that use the information sources at hand, such as, dictionaries, light-weight ontologies or hand-tagged corpora.
David Martinez, Eneko Agirre
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Selective Sampling for Example-based Word Sense Disambiguation
, 1998 This paper proposes an efficient example sampling method for example-based word sense disambiguation systems. To construct a database of practical size, a considerable overhead for manual sense disambiguation (overhead for supervision) is required.
Fujii, Atsushi +3 more
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Word Sense Disambiguation: Algorithms and applications [PDF]
, 2006 This book describes the state of the art in Word Sense Disambiguation.
Agirre, Eneko,, Edmonds, P.
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WORD SENSE DISAMBIGUATION: A REVIEW
, 2019 In the process of natural language, a lot of words have different connotations. The correct sense of a word depends upon the context in which the word occurs. Word sense disambiguation known as the process of selecting the most correct sense of the word in a given sentence.
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