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.

Published 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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