Team The Turing TESTament @ AutoMin 2021: A Pipeline based Approach to Generate Meeting Minutes Using TOPSIS

Umang Sharma, Muskaan Singh, Harpreet Singh
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引用次数: 2

Abstract

In this paper, we present our submission for AutoMin Shared Task@INTERSPEECH 2021. The objectives in this task were divided into three tasks, with the main task to create a summary based on a transcript from a meeting. The other two tasks were to compare minutes and transcripts to find out if they were from the same meeting or not. We propose a pipeline-based system that extracts the important sentences from the transcript using features and then a topsis algorithm to summarize. It cre-ates a flexible system that can provide a set of sentences from any given transcript that can best describe it based on selected features and heuristic evaluation metrics. The proposed system presents readable, grammatically correct, and fluent minutes for given meeting transcripts. We make our codebase ac-cessible here https://github.com/umangSharmacs/ theTuringTestament .
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团队图灵遗嘱@ AutoMin 2021:使用TOPSIS生成会议纪要的基于管道的方法
在本文中,我们提交了AutoMin共享Task@INTERSPEECH 2021。此任务中的目标分为三个任务,主要任务是根据会议记录创建摘要。另外两项任务是比较会议记录和会议记录,以确定它们是否来自同一次会议。我们提出了一个基于管道的系统,该系统使用特征提取重要句子,然后使用topsis算法进行总结。它创建了一个灵活的系统,可以根据选定的特征和启发式评估指标,从任何给定的文本中提供一组最能描述它的句子。提议的系统为给定的会议记录提供可读、语法正确和流畅的会议记录。我们让我们的代码库在这里可访问https://github.com/umangSharmacs/图灵遗嘱。
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Overview of the First Shared Task on Automatic Minuting (AutoMin) at Interspeech 2021 Team UEDIN @ AutoMin 2021: Creating Minutes by Learning to Filter an Extracted Summary Team Matus and Francesco @ AutoMin 2021: Towards Neural Summarization of Meetings Team ABC @ AutoMin 2021: Generating Readable Minutes with a BART-based Automatic Minuting Approach Team JU_PAD @ AutoMin 2021: MoM Generation from Multiparty Meeting Transcript
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