Emotion cause events: Corpus construction and analysis

Yat Mei Lee, Ying Chen, Shoushan Li, Chu-ren Huang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

15 Citations (Scopus)

Abstract

Emotion processing has always been a great challenge. Given the fact that an emotion is triggered by cause events and that cause events are an integral part of emotion, this paper constructs a Chinese emotion cause corpus as a first step towards automatic inference of cause-emotion correlation. The corpus focuses on five primary emotions, namely happiness, sadness, fear, anger, and surprise. It is annotated with emotion cause events based on our proposed annotation scheme. Corpus data shows that most emotions are expressed with causes, and that causes mostly occur before the corresponding emotion verbs. We also examine the correlations between emotions and cause events in terms of linguistic cues: causative verbs, perception verbs, epistemic markers, conjunctions, prepositions, and others. Results show that each group of linguistic cues serves as an indicator marking the cause events in different structures of emotional constructions. We believe that the emotion cause corpus will be the useful resource for automatic emotion cause detection as well as emotion detection and classification.
Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Language Resources and Evaluation, LREC 2010
PublisherEuropean Language Resources Association (ELRA)
Pages1121-1128
Number of pages8
ISBN (Electronic)2951740867, 9782951740860
Publication statusPublished - 1 Jan 2010
Event7th International Conference on Language Resources and Evaluation, LREC 2010 - Mediterranean Conference Centre, Valletta, Malta
Duration: 17 May 201023 May 2010

Conference

Conference7th International Conference on Language Resources and Evaluation, LREC 2010
CountryMalta
CityValletta
Period17/05/1023/05/10

ASJC Scopus subject areas

  • Education
  • Library and Information Sciences
  • Linguistics and Language
  • Language and Linguistics

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