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A Survey on Lexical Ambiguity Detection and Word Sense Disambiguation
March 26, 2024, 4:51 a.m. | Miuru Abeysiriwardana, Deshan Sumanathilaka
cs.CL updates on arXiv.org arxiv.org
Abstract: This paper explores techniques that focus on understanding and resolving ambiguity in language within the field of natural language processing (NLP), highlighting the complexity of linguistic phenomena such as polysemy and homonymy and their implications for computational models. Focusing extensively on Word Sense Disambiguation (WSD), it outlines diverse approaches ranging from deep learning techniques to leveraging lexical resources and knowledge graphs like WordNet. The paper introduces cutting-edge methodologies like word sense extension (WSE) and neuromyotonic …
abstract arxiv complexity computational cs.cl detection focus highlighting language language processing natural natural language natural language processing nlp paper processing sense survey type understanding word
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