Pattern Acquisition for Chinese Named Entity Recognition: A Supervised Learning Approach

Authors:
Xiaoshan Fang;Huanye Sheng
Affiliations:
-;-
Venue:
ADVIS '02 Proceedings of the Second International Conference on Advances in Information Systems
Year:
2002

Citing 3
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Abstract

This paper presents a supervised learning method for the pattern acquisition for handcrafted rule-based Chinese named entity recognition systems. We automatically extracted low frequency patterns based on the predefined high-frequency patterns and manually validated the new patterns and outputs of terms. The experiments show that the number of person names extracted from the Chinese Treebank increased by 14.3% after the use of the new patterns.