Paper: Real-time decision detection in multi-party dialogue

ACL ID D09-1118
Title Real-time decision detection in multi-party dialogue
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2009
Authors

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 de- cision. In this paper, we describe how this approach can be implemented in real-time, and show that the resulting system’s per- formance compares well with other detec- tors, including an off-line version.