Results 71 to 80 of about 58,551 (288)
Word sense disambiguation using Conceptual Density [PDF]
Proceedings of the 16th conference on Computational linguistics -, 1996 This paper presents a method for the resolution of lexical ambiguity of nouns and its automatic evaluation over the Brown Corpus. The method relies on the use of the wide-coverage noun taxonomy of WordNet and the notion of conceptual distance among concepts, captured by a Conceptual Density formula developed for this purpose.
Agirre, Eneko, Rigau, German
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WORD SENSE DISAMBIGUATION FOR TAMIL LANGUAGE USING PART-OF-SPEECH AND CLUSTERING TECHNIQUE [PDF]
Journal of Engineering Science and Technology, 2017 Word sense disambiguation is an important task in Natural Language Processing (NLP), and this paper concentrates on the problem of target word selection in machine translation.
P. ISWARYA, V. RADHA
doaj
Word-sense disambiguation using decomposable models [PDF]
Proceedings of the 32nd annual meeting on Association for Computational Linguistics -, 1994 Most probabilistic classifiers used for word-sense disambiguation have either been based on only one contextual feature or have used a model that is simply assumed to characterize the interdependencies among multiple contextual features. In this paper, a different approach to formulating a probabilistic model is presented along with a case study of the
Bruce, Rebecca, Wiebe, Janyce
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On the Proper Treatment of Dynamics in Cognitive Science
Topics in Cognitive Science, EarlyView., 2023 Abstract This essay examines the relevance of dynamical ideas for cognitive science. On its own, the mere mathematical idea of a dynamical system is too weak to serve as a scientific theory of anything, and dynamical approaches within cognitive science are too rich and varied to be subsumed under a single “dynamical hypothesis.” Instead, after first ...
Randall D. Beer
wiley +1 more source
Zero-shot Word Sense Disambiguation using Sense Definition Embeddings
Annual Meeting of the Association for Computational Linguistics, 2019 Word Sense Disambiguation (WSD) is a long-standing but open problem in Natural Language Processing (NLP). WSD corpora are typically small in size, owing to an expensive annotation process.
Sawan Kumar +3 more
semanticscholar +1 more source
Word Sense Disambiguation: A Survey
International Journal of Control Theory and Computer Modeling, 2015 In this paper, we made a survey on Word Sense Disambiguation (WSD). Near about in all major languages around the world, research in WSD has been conducted upto different extents. In this paper, we have gone through a survey regarding the different approaches adopted in different research works, the State of the Art in the performance in this domain ...
Pal, Alok Ranjan, Saha, Diganta
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Biomedical Word Sense Disambiguation Based on Graph Attention Networks
IEEE Access, 2022 Biomedical words have many semantics. Biomedical word sense disambiguation (WSD) is an important research issue in biomedicine field. Biomedical WSD refers to the process of determining meanings of ambiguous word according to its context.
Chun-Xiang Zhang +2 more
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Leveraging Word-Formation Knowledge for Chinese Word Sense Disambiguation
Conference on Empirical Methods in Natural Language Processing, 2021 In parataxis languages like Chinese, word meanings are constructed using specific wordformations, which can help to disambiguate word senses. However, such knowledge is rarely explored in previous word sense disambiguation (WSD) methods.
Hua Zheng +6 more
semanticscholar +1 more source
Determining the difficulty of Word Sense Disambiguation [PDF]
Journal of Biomedical Informatics, 2014 Automatic processing of biomedical documents is made difficult by the fact that many of the terms they contain are ambiguous. Word Sense Disambiguation (WSD) systems attempt to resolve these ambiguities and identify the correct meaning. However, the published literature on WSD systems for biomedical documents report considerable differences in ...
McInnes, Bridget T., Stevenson, Mark
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Word sense disambiguation criteria [PDF]
Proceedings of the 20th international conference on Computational Linguistics - COLING '04, 2004 This article describes the results of a systematic in-depth study of the criteria used for word sense disambiguation. Our study is based on 60 target words: 20 nouns, 20 adjectives and 20 verbs. Our results are not always in line with some practices in the field.
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