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2014 | OriginalPaper | Buchkapitel

Word Sense Disambiguation Using WordNet Semantic Knowledge

verfasst von : Ningning Gao, Wanli Zuo, Yaokang Dai, Wei Lv

Erschienen in: Knowledge Engineering and Management

Verlag: Springer Berlin Heidelberg

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Abstract

Word Sense Disambiguation (WSD) has been an important and difficult problem in Natural Language Processing (NLP) for years. This paper proposes a novel WSD method which expands the knowledge for senses of ambiguous word through semantic knowledge in WordNet. First, selecting feature words through syntactic parsing. Second, expanding the knowledge for the ambiguous word senses through glosses and structured semantic relations in WordNet. Third, computing the semantic relevancy between ambiguous word and context and achieving the purpose of WSD by semantic network in WordNet. Lastly, adopting the Senseval-3 all words data sets as the test set to evaluate our approach. Through a detailed experimental evaluation, the result shows that our approach achieves improvements over some classical methods.

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Information on http://wordnet.princeton.edu

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Titel: Word Sense Disambiguation Using WordNet Semantic Knowledge
verfasst von: Ningning Gao
Wanli Zuo
Yaokang Dai
Wei Lv
Verlag: Springer Berlin Heidelberg
Buch: Knowledge Engineering and Management
Print ISBN: 978-3-642-54929-8

Electronic ISBN: 978-3-642-54930-4

Copyright-Jahr: 2014
DOI: https://doi.org/10.1007/978-3-642-54930-4_15

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