Personal name and location name recognition based on conditional random fields

A new approach was proposed to recognize personal name and location name based on conditional random fields in Chinese language domain. Some interesting features have been proposed, the new probabilistic feature is proposed, which are used instead of binary feature functions, however, it is one of t...

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Bibliographic Details
Published in2009 International Conference on Machine Learning and Cybernetics Vol. 4; pp. 2255 - 2260
Main Authors Su-Xiang Zhang, Guo-Yang Gao, Yin-Cheng Qi
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Conditional random fields
Context modeling
Cybernetics
Data mining
Information extraction
Machine learning
Named entity recognition
Natural language processing
Natural languages
Pattern recognition
Power engineering and energy
Testing
Text recognition
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Summary:A new approach was proposed to recognize personal name and location name based on conditional random fields in Chinese language domain. Some interesting features have been proposed, the new probabilistic feature is proposed, which are used instead of binary feature functions, however, it is one of the several differences between this model and the most of the previous CRFs-based model. We also explore several new features in our model, which includes local features, global features, hybrid feature, related features etc; Finally, the linguistics model with multi-knowledge is built. The proposed approach is evaluated with open test method using People's Daily (January, 1998), the evaluation results show that the F-measure is 85.91% for personal name and the F-measure is 93.14% for location name, which prove our approach has a good performance.
ISBN:9781424437023
1424437024
ISSN:2160-133X
DOI:10.1109/ICMLC.2009.5212192