Improving selection of synsets from WordNet for domain-specific word sense disambiguation
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- 作者：Ivan Lopez-Arevaloa ; ilopez@tamps.cinvestav.mx" class="auth_mail" title="E-mail the corresponding author ; Victor J. Sosa-Sosaa ; Franco Rojas-Lopeza ; Edgar Tello-Lealb
- 关键词：Domain-specific word sense disambiguation ; WordNet ; Synset ; Context
- 刊名：Computer Speech & Language
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：41
- 期：Complete
- 页码：128-145
- 全文大小：905 K
文摘
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Unsupervised approach for selecting the predominant synset from WordNet for instances of ambiguous words.
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An auxiliary corpus is generated from the test corpus by using information from the Web.
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Lexical information (neighbors of ambiguous words) is obtained from the test corpus.
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Semantic information (dependency relations) is obtained from the auxiliary corpus.