Paper: Chinese Term Extraction Using Different Types of Relevance

ACL ID P09-2054
Title Chinese Term Extraction Using Different Types of Relevance
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2009
Authors

This paper presents a new term extraction ap- proach using relevance between term candi- dates calculated by a link analysis based method. Different types of relevance are used separately or jointly for term verification. The proposed approach requires no prior domain knowledge and no adaptation for new domains. Consequently, the method can be used in any domain corpus and it is especially useful for resource-limited domains. Evaluations con- ducted on two different domains for Chinese term extraction show significant improve- ments over existing techniques and also verify the efficiency and relative domain independent nature of the approach.