DocumentCode :
2699837
Title :
Study on text semantic similarity in information retrieval
Author :
Rong, Feng ; Jun, Xiao
Author_Institution :
Sch. of Comput. Sci. & Eng. Dept. Name, South China Univ. of Technol., Guangzhou
fYear :
2008
fDate :
20-23 June 2008
Firstpage :
713
Lastpage :
717
Abstract :
Case grammar is a theory about sentence structure proposed by C.J.Fillmore. A sentence is composed of modal and proposition. A simple sentence is expressed of sentence stem and decorating case. Sentence stem is a kernel of the sentence. It includes infliction case, kernel verb case and acceptance case. This paper proposed a formalized model of the text semantic similarity and similarity algorithm based on the case grammar. The semantic meanings of a sentence stem decide the similarity of a sentence. To the similarity sentence, a vector is used for the decorating case to get similarity algorithm. In this way, it avoided the keyword barrier of the text retrieval based on keyword.
Keywords :
grammars; information retrieval; text analysis; acceptance case; case grammar; information retrieval; kernel verb case; keyword; sentence stem; sentence structure; text retrieval; text semantic similarity; Automation; Computer science; Content based retrieval; Educational institutions; Frequency; Information retrieval; Information science; Kernel; Natural languages; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation, 2008. ICIA 2008. International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-2183-1
Electronic_ISBN :
978-1-4244-2184-8
Type :
conf
DOI :
10.1109/ICINFA.2008.4608091
Filename :
4608091
Link To Document :
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