CLAIMay 5, 2022

PREME: Preference-based Meeting Exploration through an Interactive Questionnaire

Microsoft
arXiv:2205.02370v2271 citationsh-index: 38
Originality Incremental advance
AI Analysis

This addresses the need for automated tools to manage and organize online meeting content for attendees who missed discussions, though it is incremental as it builds on existing meeting management concepts.

The authors tackled the problem of helping users explore missed online meetings by proposing an end-to-end framework that generates interactive questionnaires based on user preferences, resulting in suggested questions for exploration. They introduced an automatic evaluation strategy to measure answerability and coverage of the source meeting.

The recent increase in the volume of online meetings necessitates automated tools for managing and organizing the material, especially when an attendee has missed the discussion and needs assistance in quickly exploring it. In this work, we propose a novel end-to-end framework for generating interactive questionnaires for preference-based meeting exploration. As a result, users are supplied with a list of suggested questions reflecting their preferences. Since the task is new, we introduce an automatic evaluation strategy. Namely, it measures how much the generated questions via questionnaire are answerable to ensure factual correctness and covers the source meeting for the depth of possible exploration.

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