Los Angeles, CA
March 31, 2009 to April 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.551
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.
CRFs, tag set
Zeng Guanming, Zhang Chuang, Xiao Bo, Lin Zhiqing, "CRFs-Based Chinese Named Entity Recognition with Improved Tag Set", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 519-522, doi:10.1109/CSIE.2009.551