A Novel Approach to Word Sense Disambiguation Based on Topical and Semantic Association
Joint Authors
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-31
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Word sense disambiguation (WSD) is a fundamental problem in nature language processing, the objective of which is to identify the most proper sense for an ambiguous word in a given context.
Although WSD has been researched over the years, the performance of existing algorithms in terms of accuracy and recall is still unsatisfactory.
In this paper, we propose a novel approach to word sense disambiguation based on topical and semantic association.
For a given document, supposing that its topic category is accurately discriminated, the correct sense of the ambiguous term is identified through the corresponding topic and semantic contexts.
We firstly extract topic discriminative terms from document and construct topical graph based on topic span intervals to implement topic identification.
We then exploit syntactic features, topic span features, and semantic features to disambiguate nouns and verbs in the context of ambiguous word.
Finally, we conduct experiments on the standard data set SemCor to evaluate the performance of the proposed method, and the results indicate that our approach achieves relatively better performance than existing approaches.
American Psychological Association (APA)
Wang, Xin& Zuo, Wanli& Wang, Ying. 2013. A Novel Approach to Word Sense Disambiguation Based on Topical and Semantic Association. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1033076
Modern Language Association (MLA)
Wang, Xin…[et al.]. A Novel Approach to Word Sense Disambiguation Based on Topical and Semantic Association. The Scientific World Journal No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1033076
American Medical Association (AMA)
Wang, Xin& Zuo, Wanli& Wang, Ying. A Novel Approach to Word Sense Disambiguation Based on Topical and Semantic Association. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1033076
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033076