Los Angeles, California USA
Mar. 31, 2009 to Apr. 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, Computer Science and Information Engineering, World Congress on, Computer Science and Information Engineering, World Congress on 2009, pp. 519-522, doi:10.1109/CSIE.2009.551