DocumentCode
3453342
Title
Improving Topic Extraction in Chinese Documents Using Word Sense Disambiguation
Author
Song, Hongyan ; Yao, Tianfang
Author_Institution
Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., Shanghai, China
fYear
2009
fDate
7-9 Dec. 2009
Firstpage
1106
Lastpage
1109
Abstract
This paper reports experiments on topic extraction in Chinese documents using a feature set enriched with Word Sense Disambiguation (WSD) as semantic information. The results of these experiments suggest that incorporating WSD information into Chinese topic extraction tasks may yield improvements over models which do not use WSD information.
Keywords
natural language processing; support vector machines; text analysis; Chinese documents; Chinese topic extraction task; feature set; semantic information; support vector machine; word sense disambiguation; Clustering algorithms; Computer science; Data mining; Error analysis; Feature extraction; Machine learning; Morphology; Natural languages; Ontologies; Testing;
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.2009.243
Filename
5412195
Link To Document