Paper: A Bio-Inspired Approach For Multi-Word Expression Extraction

ACL ID P06-2023
Title A Bio-Inspired Approach For Multi-Word Expression Extraction
Venue Annual Meeting of the Association of Computational Linguistics
Session Poster Session
Year 2006
Authors

This paper proposes a new approach for Multi-word Expression (MWE)extraction on the motivation of gene sequence align- ment because textual sequence is simi- lar to gene sequence in pattern analy- sis. Theory of Longest Common Subse- quence (LCS) originates from computer science and has been established as affine gap model in Bioinformatics. We per- form this developed LCS technique com- bined with linguistic criteria in MWE ex- traction. In comparison with traditional n-gram method, which is the major tech- nique for MWE extraction, LCS approach is applied with great efficiency and per- formance guarantee. Experimental results show that LCS-based approach achieves better results than n-gram.