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文章基本信息

  • 标题:Good Timing for Computational Models of Narrative Discourse
  • 本地全文:下载
  • 作者:David R. Winer ; Adam A. Amos-Binks ; Camille Barot
  • 期刊名称:OASIcs : OpenAccess Series in Informatics
  • 电子版ISSN:2190-6807
  • 出版年度:2015
  • 卷号:45
  • 页码:152-156
  • DOI:10.4230/OASIcs.CMN.2015.152
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:The temporal order in which story events are presented in discourse can greatly impact how readers experience narrative; however, it remains unclear how narrative systems can leverage temporal order to affect comprehension and experience. We define structural properties of discourse which provide a basis for computational narratologists to reason about good timing, such as when readers learn about event relationships.
  • 关键词:causal inference; narrative; discourse structure; computational model
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