Real-time Decision Detection in Multi-party Dialogue

In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, pages 1133–1141, Singapore.

Publication date: August 6, 2009

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

We describe a process for automatically detecting decision-making sub-dialogues in multi-party, human-human meetings in real-time. Our basic approach to decision detection involves distinguishing between different utterance types based on the roles that they play in the formulation of a decision. In this paper, we describe how this approach can be implemented in real-time, and show that the resulting system’s performance compares well with other detectors, including an off-line version.

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