DocumentCode :
3290197
Title :
A Novel Arithmetic of Named Entity Identification
Author :
Wang, Jing ; Liu, Zhijing
Author_Institution :
Sch. of Comput. Sci. & Technol., Xidian Univ., Xi´´an
Volume :
4
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
457
Lastpage :
461
Abstract :
This paper propose a novel method of named entity identification based on improved hidden Markov model, according to the specific characteristics of the named entities in recruitment information. The algorithm tags entity and improved hidden Markov model, which can be effective to identify entities. The experimental results showed that the accuracy rate has been significantly improved and increased by 19.3 percent, compared with the original algorithm.
Keywords :
hidden Markov models; natural language processing; recruitment; word processing; hidden Markov model; named entity identification; recruitment information; Computer science; Dictionaries; Digital arithmetic; Electronic mail; Fuzzy systems; Hidden Markov models; Information retrieval; Natural language processing; Recruitment; Tagging; Entity Identification; Named Entity; a generalized Hidden Markov Model (GHMM);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location :
Jinan Shandong
Print_ISBN :
978-0-7695-3305-6
Type :
conf
DOI :
10.1109/FSKD.2008.450
Filename :
4666428
Link To Document :
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