DocumentCode :
3461663
Title :
Using Multiple Hybrid Strategies to Extract Chinese Synonyms from Encyclopedia Resource
Author :
Lu Yong ; Zhang Chengzhi ; Hou Hanqing
Author_Institution :
Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
fYear :
2009
fDate :
7-9 Dec. 2009
Firstpage :
1089
Lastpage :
1093
Abstract :
Automatic extraction of Chinese synonyms plays an important role in information retrieval and semantic resource construction. Based on the analyzing and comparing the different technologies of synonyms extraction, this paper proposes multi-strategy method including literal similarity algorithm, pattern matching algorithm and PageRank algorithm to extraction Chinese synonyms from encyclopedia resource. The method is language-independent and supports any domain. In addition, it can be able to extract synonyms in various types of expressions. The experiment result shows that the method is feasible and practical.
Keywords :
information retrieval; natural language processing; Chinese synonym automatic extraction; PageRank algorithm; encyclopedia resource; information retrieval; language-independent method; literal similarity algorithm; multiple hybrid strategies; pattern matching algorithm; semantic resource construction; Data mining; Dictionaries; Encyclopedias; Information management; Information retrieval; Natural language processing; Natural languages; Pattern matching; Terminology; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4244-5543-0
Type :
conf
DOI :
10.1109/ICICIC.2009.372
Filename :
5412630
Link To Document :
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