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ACL
2006

A Bio-Inspired Approach for Multi-Word Expression Extraction

13 years 5 months ago
A Bio-Inspired Approach for Multi-Word Expression Extraction
This paper proposes a new approach for Multi-word Expression (MWE)extraction on the motivation of gene sequence alignment because textual sequence is similar to gene sequence in pattern analysis. Theory of Longest Common Subsequence (LCS) originates from computer science and has been established as affine gap model in Bioinformatics. We perform this developed LCS technique combined with linguistic criteria in MWE extraction. In comparison with traditional n-gram method, which is the major technique for MWE extraction, LCS approach is applied with great efficiency and performance guarantee. Experimental results show that LCS-based approach achieves better results than n-gram.
Jianyong Duan, Ruzhan Lu, Weilin Wu, Yi Hu, Yan Ti
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2006
Where ACL
Authors Jianyong Duan, Ruzhan Lu, Weilin Wu, Yi Hu, Yan Tian
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