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
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.926