DocumentCode
495249
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
Volume
5
fYear
2009
fDate
March 31 2009-April 2 2009
Firstpage
519
Lastpage
522
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location
Los Angeles, CA
Print_ISBN
978-0-7695-3507-4
Type
conf
DOI
10.1109/CSIE.2009.551
Filename
5170589
Link To Document