Abstract
An automatic terminology extraction method in specific domain is proposed based on condition random fields (CRF) in this paper. We treat extraction of terminology in one domain as a sequence labeling problem, and terminology distribution characteristics as features of the CRF model. Then we use the CRF model to train a template for the terminology extraction. Experimental results show that the method is effective and efficient with common domains.
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