Results 21 to 30 of about 83,408 (318)
A Game-Theoretic Approach to Word Sense Disambiguation [PDF]
Computational Linguistics, 2016 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 ...
Rocco Tripodi, Marcello Pelillo
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Knowledge-based biomedical word sense disambiguation: comparison of approaches [PDF]
BMC Bioinformatics, 2010 Background Word sense disambiguation (WSD) algorithms attempt to select the proper sense of ambiguous terms in text. Resources like the UMLS provide a reference thesaurus to be used to annotate the biomedical literature.
Aronson Alan R, Jimeno-Yepes Antonio J
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Word sense disambiguation for event trigger word detection in biomedicine [PDF]
BMC Bioinformatics, 2011 This paper describes a method for detecting event trigger words in biomedical text based on a word sense disambiguation (WSD) approach. We first investigate the applicability of existing WSD techniques to trigger word disambiguation in the BioNLP 2009 ...
Martinez David, Baldwin Timothy
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Embeddings for word sense disambiguation: an evaluation study [PDF]
Annual Meeting of the Association for Computational Linguistics, 2016 Recent years have seen a dramatic growth in the popularity of word embeddings mainly owing to their ability to capture semantic information from massive amounts of textual content.
Iacobacci, IGNACIO JAVIER +2 more
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Structural semantic interconnections: a knowledge-based approach to word sense disambiguation [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005 Roberto Navigli, Paola Velardi
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Entity Linking meets Word Sense Disambiguation: a Unified Approach
Transactions of the Association for Computational Linguistics, 2021 Entity Linking (EL) and Word Sense Disambiguation (WSD) both address the lexical ambiguity of language. But while the two tasks are pretty similar, they differ in a fundamental respect: in EL the textual mention can be linked to a named entity which may ...
Andrea Moro +2 more
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SensPick: Sense Picking for Word Sense Disambiguation [PDF]
2021 IEEE 15th International Conference on Semantic Computing (ICSC), 2021 Word sense disambiguation (WSD) methods identify the most suitable meaning of a word with respect to the usage of that word in a specific context. Neural network-based WSD approaches rely on a sense-annotated corpus since they do not utilize lexical resources.
Enamul Haque +3 more
openaire +2 more sources
Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 A major obstacle in Word Sense Disambiguation (WSD) is that word senses are not uniformly distributed, causing existing models to generally perform poorly on senses that are either rare or unseen during training.
Terra Blevins, Luke Zettlemoyer
semanticscholar +1 more source
Multilingual Word Sense Disambiguation with Unified Sense Representation [PDF]
International Conference on Computational Linguistics, 2022 As a key natural language processing (NLP) task, word sense disambiguation (WSD) evaluates how well NLP models can understand the fine-grained semantics of words under specific contexts. Benefited from the large-scale annotation, current WSD systems have
Ying Su +3 more
semanticscholar +1 more source
SemEval-2023 Task 1: Visual Word Sense Disambiguation
International Workshop on Semantic Evaluation, 2023 This paper presents the Visual Word Sense Disambiguation (Visual-WSD) task.The objective of Visual-WSD is to identify among a set of ten images the one that corresponds to the intended meaning of a given ambiguous word which is accompanied with minimal ...
Alessandro Raganato +4 more
semanticscholar +1 more source