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