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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Chen, F. (2012). Automatic Extraction of Terminology under CRF Model. In: Hu, W. (eds) Advances in Electric and Electronics. Lecture Notes in Electrical Engineering, vol 155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28744-2_4
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DOI: https://doi.org/10.1007/978-3-642-28744-2_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28743-5
Online ISBN: 978-3-642-28744-2
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