Paper Title:
Research of Word Sense Disambiguation Based on Soft Pattern
  Abstract

Word sense disambiguation (WSD) is always an important and difficult problem that requires to be solved in Nature Language Processing. This paper presents a new WSD method which is based on soft pattern matching. The method can learn the soft patterns from the sense of the ambiguous word and its context, to construct a soft pattern - based database. At last the sense of the ambiguous word is labeled by choosing the sense with the maximum matching degree between the ambiguous word context and the soft pattern. The experiment result shows that the method has high precision.

  Info
Periodical
Key Engineering Materials (Volumes 460-461)
Edited by
Yanwen Wu
Pages
130-135
DOI
10.4028/www.scientific.net/KEM.460-461.130
Citation
K. L. Jia, "Research of Word Sense Disambiguation Based on Soft Pattern", Key Engineering Materials, Vols. 460-461, pp. 130-135, 2011
Online since
January 2011
Authors
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Price
$32.00
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