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