Computer Science ›› 2018, Vol. 45 ›› Issue (6): 204-207.doi: 10.11896/j.issn.1002-137X.2018.06.036

• Artificial Intelligence • Previous Articles     Next Articles

Joint Model of Events’ Causal and Temporal Relations Identification

HUANG Yi-long, LI Pei-feng, ZHU Qiao-ming   

  1. School of Computer Science and Technology,Soochow University,Suzhou,Jiangsu 215006,China;
    Province Key Lab of Computer Information Processing Technology of Jiangsu,Suzhou,Jiangsu 215006,China
  • Received:2017-03-18 Online:2018-06-15 Published:2018-07-24

Abstract: Causal and temporal relations of events are both important event relationships.The previous work regarded theidentification of causal and temporal relations of events as two independent tasks,ignoring the association between them.This paper applied integer linear programming(ILP) to construct joint model of event based onidentification of causal and temporal of event.Based on classifier model,the joint model optimizes the recognition results through constraints.The experimental results show that this joint model significantly enhances the identification performance.

Key words: Causal relation, Event, Joint model, Temporal relation

CLC Number: 

  • TP391
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