Context-Restricted, role-oriented emotion knowledge acquisition and representation

  • Authors:

  • Xi Yong;Cungen Cao;Haitao Wang

  • Affiliations:

  • Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences;Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences;Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences

  • Venue:
  • KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
  • Year:
  • 2005

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Abstract

Emotion knowledge is a fundamental part of human commonsense knowledge. For the lack of solid knowledge extraction work in this domain, this paper focuses on acquiring and representing the antecedent situations of various emotions as well as the emotion subjects' interpretation to these situations in real-world emotion-eliciting scenarios. After a comprehensive analysis on the meaning structure of three critical notions in emotion understanding and modeling (i.e. role, context and event), this paper introduces a pragmatic emotion knowledge acquisition method and presents a context-restricted, role-oriented, frame-based representational model of emotion knowledge, with a case study which demonstrates the applicability of the model.