Team Zoom @ AutoMin 2021: Cross-domain Pretraining for Automatic Minuting

Felix Schneider, Sebastian Stüker, V. Parthasarathy
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引用次数: 1

Abstract

This Paper describes Zoom’s submission to the First Shared Task on Automatic Minuting at Interspeech 2021. We participated in Task A: generating abstractive summaries of meetings. For this task, we use a transformer-based summarization model which is first trained on data from a similar domain and then finetuned for domain transfer. In this configuration, our model does not yet produce usable summaries. We theorize that in the choice of pretraining corpus, the target side is more important than the source.
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团队缩放@ AutoMin 2021:自动记录的跨域预训练
本文描述了Zoom在Interspeech 2021上提交的第一个自动记录共享任务。我们参与了任务A:生成会议的抽象摘要。对于这项任务,我们使用基于变压器的汇总模型,该模型首先对来自相似域的数据进行训练,然后对域转移进行微调。在这个配置中,我们的模型还不能产生可用的摘要。我们认为在预训练语料库的选择中,目标侧比源侧更重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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