Title :
CRFs-Based Chinese Named Entity Recognition with Improved Tag Set
Author :
Guanming, Zeng ; Chuang, Zhang ; Bo, Xiao ; Zhiqing, Lin
Author_Institution :
PRIS Lab., Beijing Univ. of Post & Telecommun., Beijing, China
fDate :
March 31 2009-April 2 2009
Abstract :
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.
Keywords :
natural language processing; probability; CRF-based Chinese named entity recognition; NLP; conditional random field model; improved tag set; natural language processing; Computer science; Costs; Data mining; Graphical models; Hidden Markov models; Markov random fields; Natural languages; Random variables; Text categorization; Text recognition; CRFs; tag set;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.551
