JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2014, Vol. 44 ›› Issue (6): 32-37.doi: 10.6040/j.issn.1672-3961.1.2014.163

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Chinese entity relation extraction based on entity disambiguation

SHAO Fa1, HUANG Yinge1, ZHOU Lanjiang1,2, GUO Jianyi1,2, YU Zhengtao1,2, ZHANG Jinpeng1   

  1. 1. School of Information Engineering and Automation, Kunming 650500, Yunnan, China;
    2. Key Laboratory of Intelligent Information Processing, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
  • Received:2013-12-29 Revised:2014-11-19 Online:2014-12-20 Published:2013-12-29

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Abstract: To solve the polysemy problem in Chinese Entity Relation Extraction in open text, a Chinese entity relation extraction method based on entity disambiguation was proposed. First, mining entity relation pairs from HowNet,and the entities were mapped from HowNet to Wikipedia by using disambiguation method based on Bayesian classification so as to obtain high-quality relationship instance; Then, extracting the sentence instances in the corresponding context with these relation instances, to construct a basic extraction pattern; Finally, extracting new cases use the new pattern. The experimental results showed that the accuracy of the proposed method was higher than the methods without semantic disambiguation and pattern merging.

Key words: Bayesian classification, entity disambiguation, pattern merging, entity relation extraction, Wikipedia

CLC Number: 

  • TP391
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