论文标题
开会摘要：对最新状态的调查
Meeting Summarization: A Survey of the State of the Art
论文作者
论文摘要
信息过载需要摘要器从文本中提取显着信息。当前，由于虚拟通信平台的兴起，对话数据有大量的对话数据。 Covid-19的兴起使人们依靠Zoom，Slack，Microsoft Teams，Discord等在线通信平台进行公司会议。人们可以使用会议摘要来选择有用的数据，而不是浏览整个会议成绩单。然而，在会议摘要的领域缺乏全面的调查。在这项调查中，我们旨在涵盖最近的会议摘要技术。我们的调查提供了文本摘要以及数据集和评估指标的一般概述，以实现汇总。我们还在排行榜上提供每个摘要器的性能。我们在该领域的不同挑战和未来研究人员的潜在研究机会中结束了调查。
Information overloading requires the need for summarizers to extract salient information from the text. Currently, there is an overload of dialogue data due to the rise of virtual communication platforms. The rise of Covid-19 has led people to rely on online communication platforms like Zoom, Slack, Microsoft Teams, Discord, etc. to conduct their company meetings. Instead of going through the entire meeting transcripts, people can use meeting summarizers to select useful data. Nevertheless, there is a lack of comprehensive surveys in the field of meeting summarizers. In this survey, we aim to cover recent meeting summarization techniques. Our survey offers a general overview of text summarization along with datasets and evaluation metrics for meeting summarization. We also provide the performance of each summarizer on a leaderboard. We conclude our survey with different challenges in this domain and potential research opportunities for future researchers.
