CLOct 20, 2022

Meeting Decision Tracker: Making Meeting Minutes with De-Contextualized Utterances

arXiv:2210.11374v1296 citationsh-index: 26
Originality Incremental advance
AI Analysis

This addresses the need for efficient meeting minute generation in business and project collaboration, though it appears incremental as it builds on existing meeting analysis techniques.

The researchers tackled the problem of automatically tracking decisions in meetings by developing Meeting Decision Tracker, a prototype system with a decision utterance detector and rewriter, which improved user experience by handling utterance collapse in conversations.

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.

Foundations

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