  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.
