DocumentCode
2352759
Title
Multiword Expression Recognition Using Multiple Sequence Alignment
Author
Li, Ru ; Zhong, Lijun ; Duan, Jianyong
Author_Institution
Sch. of Comput. & Inf. Technol., Shanxi Univ., Taiyuan
fYear
2008
fDate
23-25 July 2008
Firstpage
133
Lastpage
138
Abstract
For the Multiword Expression (MWE) recognition, the Multiple Sequence Alignment (MSA) is proposed on the motivation of gene recognition. Because textual sequence is similar to gene sequence in pattern analysis. This MSA technique is combined with error-driven rules, with the improved efficiency beyond the traditional methods.It provides a guarantee for the MWE recall. It uses the dynamic programming method to prevent candidates from combinational explosion, and provides a global solution for pattern extraction instead of sub-pattern redundancy. Consequently, it has accurate measures for flexible patterns. In experiment, some advanced statistical measures are performed for ranking candidates. In the comparison experiment, the MSA approach achieved better results.
Keywords
computational linguistics; dynamic programming; feature extraction; sequences; statistical analysis; dynamic programming; error-driven rule; multiple sequence alignment; multiword expression recognition; pattern extraction; statistical measure; textual sequence; Computational intelligence; Computer science; Computer science education; Data mining; Filters; Frequency; Information processing; Information technology; Laboratories; Natural languages; Error-driven rule; Multiword Expression; Sequence Alignment;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Language Processing and Web Information Technology, 2008. ALPIT '08. International Conference on
Conference_Location
Dalian Liaoning
Print_ISBN
978-0-7695-3273-8
Type
conf
DOI
10.1109/ALPIT.2008.71
Filename
4584355
Link To Document