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.
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CITATION STYLE
Lee, C., Jung, S., Kim, K., & Lee, G. G. (2009). Automatic agenda graph construction from human-human dialogs using clustering method. In NAACL-HLT 2009 - Human Language Technologies: 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Short Papers (pp. 89–92). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1620853.1620880
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