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.

本文提出了一种用于生成基于偏好的会议探索交互式问卷的端到端框架，通过自动生成问卷，使用户快速探索会议内容，并提出了自动评估策略，保证所生成的问题的答案的正确性和可能的探索深度覆盖源会议。

通过交互问卷进行基于偏好的会议探索

PREME: Preference-based Meeting Exploration through an Interactive Questionnaire

We propose the shared task of cross-lingual conversation summarization,
\emph{ConvSumX Challenge}, opening new avenues for researchers to investigate
solutions that integrate conversation summarization and machine translation.
This task can be particularly useful due to the emergence of online meetings
and conferences. We construct a new benchmark, covering 2 real-world scenarios
and 3 language directions, including a low-resource language. We hope that
\emph{ConvSumX} can motivate researches to go beyond English and break the
barrier for non-English speakers to benefit from recent advances of
conversation summarization.

本文提出 “ConvSumX Challenge”，为研究人员提供了研究整合对话摘要和机器翻译的解决方案的新途径，旨在打破非英语演讲者受益于最新对话摘要进展的壁垒。通过构建新的基准，涵盖 2 种实际情况和 3 种语言方向，包括低资源语言，以期激励研究超越英语。