Word sense disambiguation incorporating lexical and structural semantic information

We present results that show that incorporating lexical and structural semantic information is effective for word sense disambiguation. We evaluated the method by using precise information from a large treebank and an ontology automatically created from dictionary sentences. Exploiting rich semantic...

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Main Authors: Tanaka, Takaaki, Bond, Francis, Baldwin, Timothy, Fujita, Sanae, Hashimoto, Chikara
其他作者: School of Humanities and Social Sciences
格式: Conference or Workshop Item
語言:English
出版: 2010
主題:
在線閱讀:https://hdl.handle.net/10356/92286
http://hdl.handle.net/10220/6449
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機構: Nanyang Technological University
語言: English