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.
翻译:信息超载要求摘要员从文本中提取突出信息。 目前,由于虚拟通信平台的兴起,对话数据超载。 Covid-19的兴起导致人们依赖诸如Zom、Slack、微软团队、Discord等在线通信平台举行公司会议。人们可以使用会议摘要员来选择有用的数据,而不是通过整个会议记录誊本。然而,在会议摘要员领域缺乏全面调查。在这次调查中,我们的目标是涵盖最近的会议总结技术。我们的调查提供了文本汇总以及数据集和会议总结评价标准的总概况。我们还提供每个摘要员在领导板上的表现。我们结束我们的调查,在这方面面临不同挑战,未来研究人员也面临潜在的研究机会。