Earticle

초록

영어

Event extraction is one of the most challenging tasks of information extraction from text. This paper studies one of the stages of Chinese event extraction, namely, event argument identification. A new method we call Semantic Role Labeling Based Event Argument Identification, based on the state-of-the-art methods of event extraction and event argument identification, is proposed. First, the 5W1H (who, what, whom, when, where, how) information is extracted from the text using semantic role labeling; thereafter, the 5W1H information is mapped to each argument of the event by heuristic rules. The method is used to identify the event arguments on two test sets of acquisition and transfer data, and contrasted with the methods of SRL and SRL combining heuristic rules. We find the best F1 measures for each to be 76.04% and 79.19% respectively.

목차

Abstract
 1. Introduction
 2. Related Work
 3. SRL-Based Event Argument Recognition
  3.1. SRL Module
  3.2. Heuristic Rule Set
 4. Experimental Results and Analysis
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Wen Zhou [ School of Computer Engineering and Science, Shanghai University ]
• Yajun Zhang [ School of Computer Engineering and Science, Shanghai University ]
• Xiaoying Su [ School of Computer Engineering and Science, Shanghai University ]
• Yao Li [ School of Computer Engineering and Science, Shanghai University ]
• Zongtian Liu [ School of Computer Engineering and Science, Shanghai University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605