Results 51 to 60 of about 31,258 (204)
Capsule Network Improved Multi-Head Attention for Word Sense Disambiguation
Applied Sciences, 2021 Word sense disambiguation (WSD) is one of the core problems in natural language processing (NLP), which is to map an ambiguous word to its correct meaning in a specific context.
Jinfeng Cheng, Weiqin Tong, Weian Yan
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Word sense disambiguation: a complex network approach
, 2018 In recent years, concepts and methods of complex networks have been employed to tackle the word sense disambiguation (WSD) task by representing words as nodes, which are connected if they are semantically similar.
Amancio, Diego R. +2 more
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Subjectivity word sense disambiguation [PDF]
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing Volume 1 - EMNLP '09, 2009 This paper investigates a new task, subjectivity word sense disambiguation (SWSD), which is to automatically determine which word instances in a corpus are being used with subjective senses, and which are being used with objective senses. We provide empirical evidence that SWSD is more feasible than full word sense disambiguation, and that it can be ...
Cem Akkaya, Janyce Wiebe, Rada Mihalcea
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Word Sense Disambiguation with THESSOM [PDF]
, 2003 Word sense disambiguation automatically determines the appropriate senses of a word in context. We have previously shown that self-organized document maps have properties similar to a large-scale semantic structure that is useful for word sense ...
Linden, Krister
core
SensPick: Sense Picking for Word Sense Disambiguation [PDF]
, 2021 SM Zobaed +3 more
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Word Sense Disambiguation by Web Mining for Word Co-occurrence Probabilities [PDF]
, 2004 This paper describes the National Research Council (NRC) Word Sense Disambiguation (WSD) system, as applied to the English Lexical Sample (ELS) task in Senseval-3.
Turney, Peter D.
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Normalized Statistical Algorithm for Afaan Oromo Word Sense Disambiguation [PDF]
, 2021 Abdo Ababor Abafogi
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Dutch word sense disambiguation [PDF]
Proceedings of the ACL-02 workshop on Word sense disambiguation recent successes and future directions -, 2002 We describe a new version of the Dutch word sense disambiguation system trained and tested on a corrected version of the SENSEVAL-2 data. The system is an ensemble of word experts; each word expert is a memory-based classifier of which the parameters are automatically determined through cross-validation on training material.
Hendrickx, Iris +3 more
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Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders [PDF]
, 2020 Terra Blevins, Luke Zettlemoyer
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Word Sense Disambiguation Focusing on POS Tag Disambiguation in Persian:
International Journal of Information Science and Management, 2019 The present study deals with ambiguity at word level focusing on homographs. In different languages, homographs may cause ambiguity in text processing. In Persian, the number of homographs is high due to its orthographic structure as well as its complex ...
Elham Alayiaboozar +2 more
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