Extracting decisions from multi-party dialogue using directed graphical models and semantic similarity
Trung Bui, Matthew Frampton, John Dowding, Stanley Peters · 2009
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.