Extracting decisions from multi-party dialogue using directed graphical models and semantic similarity

  • Authors:
  • Trung H. Bui;Matthew Frampton;John Dowding;Stanley Peters

  • Affiliations:
  • Stanford University;Stanford University;University of California/Santa Cruz;Stanford University

  • Venue:
  • SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
  • Year:
  • 2009

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Abstract

We use directed graphical models (DGMs) to automatically detect decision discussions in multi-party dialogue. Our approach distinguishes between different dialogue act (DA) types based on their role in the formulation of a decision. DGMs enable us to model dependencies, including sequential ones. We summarize decisions by extracting suitable phrases from DAs that concern the issue under discussion and its resolution. Here we use a semantic-similarity metric to improve results on both manual and ASR transcripts.