JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2014, Vol. 49 ›› Issue (12): 12-17.doi: 10.6040/j.issn.1671-9352.3.2014.182

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Event inference for semi-supervised Chinese event extraction

XU Xia, LI Pei-feng, ZHENG Xin, ZHU Qiao-ming   

  1. School of Computer Science and Technology, Soochow University, Suzhou 215006, Jiangsu, China
  • Received:2014-08-28 Revised:2014-10-24 Online:2014-12-20 Published:2014-12-20

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Abstract: The performance semi-supervised Chinese event extraction depends on the quality of seed patterns. However, the expression styles and coverage of those seed patterns, which are extracted automatically, is limited and that leads to lots of event mentions cannot be identified for their contexts. To solve this issue, an event inference mechanism based on co-reference events and relevant events was proposed, which follows the theory of event consistency in a topic. This mechanism can infer those event mentions which have the co-reference or relevance relations with the extracted event mentions in the same document, and then the performance of semi-supervised Chinese event extraction was further improved. The experimental results on the ACE 2005 Chinese corpus show that our approach outperforms the baseline significantly.

Key words: semi-supervised, event extraction, event inference

CLC Number: 

  • TP391
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