Automatic Term Extraction in TCM Acupuncture Domain
SUN Shuihua1,2,HUANG Degen1,NIU Ping1
1.School of Computer Science and Technology,Dalian University of Technology,Dalian,Liaoning 116024,China; 2.College of Information Science and Engineering,Fujian University of Technology,Fuzhou,Fujian 350118,China
Abstract：A term extraction algorithm model based on language rules in TCM acupuncture domain is established. Firstly,the seed set of TCM acupuncture domain term is iterated finitely to generate the component set. Secondly, by regarding the component set as the domain dictionary,the model applies maximum forward matching algorithm to segment the sentences and extracts term candidates. Finally,the term candidates are filtrated by rules. The F-measures for open test are 76.96% and 35.59%,with keywords and traditional Chinese medicine dictionary as the seed set,respectively.
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2016, Vol. 30 
