Chinese Term Extraction Based on Delimiters

Existing techniques extract term candidates by looking for internal and contextual information associated with domain specific terms. The algorithms always face the dilemma that fewer features are not enough to distinguish terms from non-terms whereas more features lead to more conflicts among selected features. This paper presents a novel approach for term extraction based on delimiters which are much more stable and domain independent. The proposed approach is not as sensitive to term frequency as that of previous works. This approach has no strict limit or hard rules and thus they can deal with all kinds of terms. It also requires no prior domain knowledge and no additional training to adapt to new domains. Consequently, the proposed approach can be applied to different domains easily and it is especially useful for resource-limited domains. Evaluations conducted on two different domains for Chinese term extraction show significant improvements over existing techniques which verifi...

• Type: Conference
• Year: 2008
• Where: LREC
• Authors: Yuhang Yang, Qin Lu, Tiejun Zhao
• Keywords: Domain Specific Terms, Education, LREC 2008, Techniques Extract Term, Term Extraction