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CRFs-Based Chinese Named Entity Recognition with Improved Tag Set

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4 Author(s)
Zeng Guanming ; PRIS Lab., Beijing Univ. of Post & Telecommun., Beijing, China ; Zhang Chuang ; Xiao Bo ; Lin Zhiqing

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.

Published in:

Computer Science and Information Engineering, 2009 WRI World Congress on  (Volume:5 )

Date of Conference:

March 31 2009-April 2 2009