Automatic agenda graph construction from human-human dialogs using clustering method

  • Authors:
  • Cheongjae Lee;Sangkeun Jung;Kyungduk Kim;Gary Geunbae Lee

  • Affiliations:
  • Pohang University of Science and Technology, Pohang, South Korea;Pohang University of Science and Technology, Pohang, South Korea;Pohang University of Science and Technology, Pohang, South Korea;Pohang University of Science and Technology, Pohang, South Korea

  • Venue:
  • NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
  • Year:
  • 2009

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Abstract

Various knowledge sources are used for spoken dialog systems such as task model, domain model, and agenda. An agenda graph is one of the knowledge sources for a dialog management to reflect a discourse structure. This paper proposes a clustering and linking method to automatically construct an agenda graph from human-human dialogs. Preliminary evaluation shows our approach would be helpful to reduce human efforts in designing prior knowledge.