Combining Local Context and WordNet Similarity for Word Sense Identification

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by Claudia Leacock, Martin Chodorow
Abstract:
Word sense identification is the mapping between words in a text and their appropriate senses in a lexicon. l Some level of word sense identification is required for virtually all natural-language-processing applications. Text must be disambiguated before it can be...
Reference:
Combining Local Context and WordNet Similarity for Word Sense Identification (Claudia Leacock, Martin Chodorow), Chapter in WordNet: An electronic lexical database. (Christiane Fellbaum, ed.), MIT Press, 1998.
Bibtex Entry:
@incollection{Leacock1998,
abstract = {Word sense identification is the mapping between words in a text and their appropriate senses in a lexicon. l Some level of word sense identification is required for virtually all natural-language-processing applications. Text must be disambiguated before it can be...},
author = {Leacock, Claudia and Chodorow, Martin},
booktitle = {WordNet: An electronic lexical database.},
chapter = {13},
editor = {Fellbaum, Christiane},
isbn = {978-0262061971},
keywords = {SML-LIB-BIBLIO,lang:ENG},
mendeley-tags = {SML-LIB-BIBLIO,lang:ENG},
pages = {265--283},
publisher = {MIT Press},
title = {{Combining Local Context and WordNet Similarity for Word Sense Identification}},
year = {1998}
}
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