Results 61 to 70 of about 31,258 (204)
Sense Unveiled: Enhancing Urdu Corpus for Nuanced Word Sense Disambiguation
IEEE AccessAmbiguity in word meanings presents a significant challenge in natural language processing, necessitating robust techniques for Word Sense Disambiguation (WSD).
Sarfraz Bibi +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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Word Sense Disambiguation: An Overview [PDF]
Language and Linguistics Compass, 2009 AbstractWord sense disambiguation is a subfield of computational linguistics in which computer systems are designed to determine the appropriate meaning of a word as it appears in the linguistic context. This article provides a survey of what has been done in this area: the ways that word meaning can be represented in the computer, the approaches taken
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An Optimized Lesk-Based Algorithm for Word Sense Disambiguation
Open Computer Science, 2016 Computational complexity is a characteristic of almost all Lesk-based algorithms for word sense disambiguation (WSD). In this paper, we address this issue by developing a simple and optimized variant of the algorithm using topic composition in documents ...
Ayetiran Eniafe Festus, Agbele Kehinde
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Journal of Language ModellingWe develop a three-part approach to Verb Sense Disambiguation (VSD) in German. After considering a set of lexical resources and corpora, we arrive at a statistically motivated selection of a subset of verbs and their senses from GermaNet.
Dominik Mattern +3 more
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Attention-based Stacked Bidirectional Long Short-term Memory Model for Word Sense Disambiguation [PDF]
, 2023 Yujia Sun, Jan Platoš
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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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Moving Down the Long Tail of Word Sense Disambiguation with\n Gloss-Informed Biencoders [PDF]
, 2020 Terra Blevins, Luke Zettlemoyer
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Toward Universal Word Sense Disambiguation Using Deep Neural Networks
IEEE Access, 2019 Traditionally, approaches based on neural networks to solve the problem of disambiguation of the meaning of words (WSD) use a set of classifiers at the end, which results in a specialization in a single set of words-those for which they were trained ...
Hiram Calvo +3 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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