DocumentCode
2282386
Title
Personal Name Recognition Based on Categorized Linguistic Knowledge
Author
Qu, Weiguang ; Tang, Xuri ; Li, Bin
Author_Institution
Sch. of Math. & Comput. Sci., Nanjing Normal Univ., Nanjing
Volume
3
fYear
2008
fDate
9-12 Dec. 2008
Firstpage
311
Lastpage
315
Abstract
This paper proposes an integrated approach for personal name recognition (PNR) in Chinese by utilizing both statistical language models and categorized linguistic knowledge. Various formulas are proposed for calculating personal name credibility and context credibility for different types of personal names. Experiment is conducted on large-scale corpus to evaluate the approach and the F-1 scores has reached 98.85% and 92.73% respectively in close and open test.
Keywords
character recognition; computational linguistics; natural language processing; statistical analysis; text analysis; vocabulary; categorized linguistic knowledge; context credibility; out of vocabulary; personal name recognition; statistical language model; Character recognition; Databases; Europe; Intelligent agent; Large-scale systems; Mathematics; Natural languages; Probability; Statistical analysis; Statistics; Credibility; Discourse; Knowledge database; Personal Name Recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
Conference_Location
Sydney, NSW
Print_ISBN
978-0-7695-3496-1
Type
conf
DOI
10.1109/WIIAT.2008.155
Filename
4740787
Link To Document