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2009 WRI World Congress on Computer Science and Information Engineering
CRFs-Based Chinese Named Entity Recognition with Improved Tag Set
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
Chinese Named entity recognition is one of the most important tasks in NLP. The paper mainly describes our work on NER tasks. The paper built up a system under the framework of Conditional Random Fields (CRFs) model. With an improved tag set the system gets an F-value of 93.49 using SIGHAN2007 MSRA corpus.
Index Terms:
CRFs, tag set
Citation:
Zeng Guanming, Zhang Chuang, Xiao Bo, Lin Zhiqing, "CRFs-Based Chinese Named Entity Recognition with Improved Tag Set," csie, vol. 5, pp.519-522, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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