Results 121 to 130 of about 83,244 (255)
An Algorithm for Fuzzification of WordNets and its Application in Sentiment Analysis [PDF]
مدیریت مهندسی و رایانش نرمWordNet-like Lexical Databases (WLDs) group English words into sets of synonyms called “synsets.” Synsets are utilized for several applications in the field of text mining.
Yousef Alizadeh-Q +5 more
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Disambiguierung deutschsprachiger Diskursmarker: Eine Pilot-Studie
Linguistik Online, 2004 Discourse markers such as German aber, wohl or obwohl can be regarded as valuable information for a wide range of text-linguistic applications, since they provide important cues for the interpretation of texts or text segments.
Petra Saskia Bayerl
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Selective Sampling for Example-based Word Sense Disambiguation
, 1998 This paper proposes an efficient example sampling method for example-based word sense disambiguation systems. To construct a database of practical size, a considerable overhead for manual sense disambiguation (overhead for supervision) is required.
Fujii, Atsushi +3 more
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A metaheuristic with a neural surrogate function for Word Sense Disambiguation
Machine Learning with Applications, 2022 Word Sense Disambiguation (WSD) is one of the earliest problems in natural language processing which aims to determine the correct sense of words in context.
Azim Keshavarzian Nodehi +1 more
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Automatic WordNet mapping using word sense disambiguation [PDF]
, 2000 Changki Lee, Geunbae Lee, Seo Jung Yun
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A Systematic Analysis of Various Word Sense Disambiguation Approaches
Advances in Distributed Computing and Artificial Intelligence JournalThe process of finding the correct sense of a word in context is known as word sense disambiguation (WSD). In the field of natural language processing, WSD has become a growing research area.
Chandra Ganesh +3 more
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The research of word sense disambiguation method based on co-occurrence frequency of Hownet [PDF]
, 2000 Erhong Yang +2 more
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Random Walks for Knowledge-Based Word Sense Disambiguation
Computational Linguistics, 2021 Eneko Agirre +2 more
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WORD SENSE DISAMBIGUATION USING FUZZY SEMANTIC-BASED STRING SIMILARITY MODEL
Malaysian Journal of Computing, 2018 Sentences are the language of human communication. This communication medium is so fluid that words and meaning can have many interpretations by readers.
Amir Abd-Rashid, Shuzlina Abdul-Rahman, Nor Nadiah Yusof, Azlinah Mohamed
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