雑談対話における言外の情報の収集と類型化

• 光田 航

  日本電信電話株式会社NTT メディアインテリジェンス研究所

• 東中 竜一郎

  日本電信電話株式会社NTT メディアインテリジェンス研究所

• 富田 準二

  日本電信電話株式会社NTT メディアインテリジェンス研究所

書誌事項

タイトル別名

• Collection and Analysis of Perceived Information in Chat-oriented Dialogue

抄録

Understanding the various information from user utterances is important for chat-oriented dialogue systems. However, no study has yet clarified the types of information that should be understood by such systems. With this purpose in mind, we first collected information that humans perceive from each utterance (perceived information) in chat-oriented dialogue. We then categorized the types of perceived information. The types were evaluated on the basis of inter-annotator agreement, which showed substantial agreement and demonstrated the validity of our categorization. To the best of our knowledge, this study is the first attempt to clarify the types of information that a chat-oriented dialogue system should understand from varied user utterances.

収録刊行物

• 人工知能学会論文誌

  人工知能学会論文誌 35 (1), DSI-E_1-10, 2020-01-01

  一般社団法人 人工知能学会

キーワード

• chat-oriented dialogue
• perceived information
• data collection
• taxonomy

詳細情報

• CRID: 1390002184860364544
• NII論文ID: 130007779294
• DOI: 10.1527/tjsai.dsi-e
• ISSN: 13468030
• ISSN: 13460714
• Web Site: https://www.jstage.jst.go.jp/article/tjsai/35/1/35_DSI-E/_pdf
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可