DocumentCode
2075866
Title
Automatic identification of hierarchical relationship between words based on clustering
Author
Zhou, Wei ; Du, Yuncheng ; Wang, Hongwei ; Lv, Xueqiang
Author_Institution
Chinese Inf. Process. Res. Center, Beijing Inf. Sci. & Technol. Univ., Beijing, China
fYear
2011
fDate
16-18 Dec. 2011
Firstpage
1585
Lastpage
1588
Abstract
At present, how to use computer technology to automatically identify the semantic relations between terms, such as equivalence relationship, hierarchical relationship and associative relationship, is a key part of automatically building a thesauri, also a difficulty. In this paper, several common methods to identify the concept hierarchical relationship were described: the identification method based on co-occurrence analysis, the distribution of similarity calculation method and the method based on syntactic pattern matching, proposed a combination method of co-occurrence statistics and distribution of similarity calculation to identify the concept hierarchical relationships between words, and proved by experiments that the method is feasible and effective.
Keywords
pattern clustering; statistical analysis; text analysis; thesauri; word processing; associative relationship; automatic identification; computer technology; concept hierarchical relationship; cooccurrence analysis; cooccurrence statistics; equivalence relationship; semantic relations; similarity calculation method distribution; syntactic pattern matching; thesauri; Algorithm design and analysis; Clustering algorithms; Context; Natural languages; Semantics; Thesauri; Vectors; automatic identification of hierarchical relationship; clustering; co-occurrence analysis; the associated concept of space; thesauri;
fLanguage
English
Publisher
ieee
Conference_Titel
Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4577-1700-0
Type
conf
DOI
10.1109/TMEE.2011.6199512
Filename
6199512
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