Extracting Decisions from multi-party Dialog using Directed Graphical Models and Semantic Similarity

In Proceedings of the 10th Annual SIGDIAL Meeting on Discourse and Dialogue (SIGdial 09), London, UK.

Publication date: September 11, 2009

Trung Bui, M. Frampton, J. Dowding, S. Peters

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.

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