Paper: What Decisions Have You Made?: Automatic Decision Detection in Meeting Conversations

ACL ID N07-1004
Title What Decisions Have You Made?: Automatic Decision Detection in Meeting Conversations
Venue Human Language Technologies
Session Main Conference
Year 2007
Authors

This study addresses the problem of au- tomatically detecting decisions in conver- sational speech. We formulate the prob- lem as classifying decision-making units at two levels of granularity: dialogue acts and topic segments. We conduct an em- pirical analysis to determine the charac- teristic features of decision-making dia- logue acts, and train MaxEnt models using these features for the classification tasks. We find that models that combine lexi- cal, prosodic, contextual and topical fea- tures yield the best results on both tasks, achieving 72% and 86% precision, respec- tively. The study also provides a quantita- tive analysis of the relative importance of the feature types.