DocumentCode
2768390
Title
Sentence Similarity Measure Based on Events and Content Words
Author
Jian-fang Shan ; Zong-tian Liu ; Wen Zhou
Author_Institution
Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
Volume
7
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
623
Lastpage
627
Abstract
Similarity between sentences plays an important role in a variety of applications of natural language process. The paper proposes a novel method to calculate sentence similarity, which takes into account both semantic and syntax: measuring semantic similarity based on events, measuring syntactic similarity based on content words sequence. Our experimental results show that the method is reasonable and effective.
Keywords
computational linguistics; natural language processing; text analysis; content words sequence; event; natural language process; semantic similarity measurement; sentence similarity measurement; syntactic similarity measurement; syntax; Application software; Books; Cognitive science; Computational linguistics; Data mining; Information retrieval; Natural languages; Statistics; :Sentence similarity; Content Words Sequence; Event; Event similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3735-1
Type
conf
DOI
10.1109/FSKD.2009.926
Filename
5360085
Link To Document