Automatic Agenda Graph Construction From Human-Human Dialogs Using Clustering Method
- Cheongjae Lee ,
- Sangkeun Jung ,
- Sungjin Lee ,
- Kyungduk Kim ,
- Gary Geunbae Lee
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 |
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.