Team UEDIN @ AutoMin 2021: Creating Minutes by Learning to Filter an Extracted Summary

Philip Williams, B. Haddow
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引用次数: 2

Abstract

We describe the University of Edinburgh’s submission to the First Shared Task on Automatic Minuting. We developed an English-language minuting system for Task A that combines BERT-based extractive summarization with logistic regression-based filtering and rule-based pre- and post-processing steps. In the human evaluation, our system averaged scores of 2.1 on adequacy, 3.9 on grammatical correctness, and 3.3 on fluency.
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团队UEDIN @ AutoMin 2021:通过学习过滤提取的摘要来创建会议记录
我们描述了爱丁堡大学提交的第一个关于自动记录的共享任务。我们为任务A开发了一个英语记录系统,该系统结合了基于bert的提取摘要、基于逻辑回归的过滤和基于规则的预处理和后处理步骤。在人类评估中,我们的系统在充分性上的平均得分为2.1分,在语法正确性上的平均得分为3.9分,在流畅性上的平均得分为3.3分。
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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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