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arXiv · 2209.01650

ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining

Mohamed Elaraby·Diane Litman
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Abstract

A challenging task when generating summaries of legal documents is the ability to address their argumentative nature. We introduce a simple technique to capture the argumentative structure of legal documents by integrating argument role labeling into the summarization process. Experiments with pretrained language models show that our proposed approach improves performance over strong baselines

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Mohamed Elaraby, Diane Litman. 2022-09-04. ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining. https://arxiv.org/abs/2209.01650

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