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  • 标题:Automatic Commentary System Based on Multiple Viewpoints with Different Amount of Information
  • 本地全文:下载
  • 作者:Mizuki Fujisawa ; Suguru Saito ; Manabu Okumura
  • 期刊名称:人工知能学会論文誌
  • 印刷版ISSN:1346-0714
  • 电子版ISSN:1346-8030
  • 出版年度:2004
  • 卷号:19
  • 期号:6
  • 页码:483-492
  • DOI:10.1527/tjsai.19.483
  • 出版社:The Japanese Society for Artificial Intelligence
  • 摘要:Previous commentary systems generate commentaries only from the viewpoint of a commentator. However there are various viewpoints for comments, and such different viewpoints invoke various comments. The amount of information about a situation may differ between the viewpoints, and the understandings of the situation may also differ between them. In this paper, we propose a method to generate commentaries automatically so that users can easily understand situations by taking into account the different understandings of the situations between viewpoints. Our method is composed of two parts. The first is generation of comment candidates about the current situation, unexpected actions, intentions of players by using a game tree. The second is comment selection which chooses comments related to the prior one so that listeners can compare the situations from different viewpoints. Based on our approach, we implemented an experimental system that generates commentaries on mahjong games. We discuss the output of the system.
  • 关键词:commentary ; natural language generation ; game tree
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