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.
@article{arxiv.2205.02370,
title = {PREME: Preference-based Meeting Exploration through an Interactive Questionnaire},
author = {Negar Arabzadeh and Ali Ahmadvand and Julia Kiseleva and Yang Liu and Ahmed Hassan Awadallah and Ming Zhong and Milad Shokouhi},
journal= {arXiv preprint arXiv:2205.02370},
year = {2023}
}