Meeting Decision Tracker: Making Meeting Minutes with De-Contextualized Utterances
Shumpei Inoue, Hy Nguyen, Pham Viet Hoang, Tsungwei Liu, Minh-Tien, Nguyen

TL;DR
This paper introduces Meeting Decision Tracker, a system that automatically identifies and refines decision-related utterances in meetings to improve decision tracking and user experience.
Contribution
It presents a novel system with decision utterance detector and rewriter components, enhancing automatic decision itemization in meeting transcripts.
Findings
DUR improves user experience by handling utterance collapse
System effectively identifies decision utterances in meetings
Introduction video demonstrates system capabilities
Abstract
Meetings are a universal process to make decisions in business and project collaboration. The capability to automatically itemize the decisions in daily meetings allows for extensive tracking of past discussions. To that end, we developed Meeting Decision Tracker, a prototype system to construct decision items comprising decision utterance detector (DUD) and decision utterance rewriter (DUR). We show that DUR makes a sizable contribution to improving the user experience by dealing with utterance collapse in natural conversation. An introduction video of our system is also available at https://youtu.be/TG1pJJo0Iqo.
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Taxonomy
TopicsSpeech and dialogue systems · Semantic Web and Ontologies · Team Dynamics and Performance
