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
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;
Conference_Titel :
Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4244-5543-0
DOI :
10.1109/ICICIC.2009.243
