Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking

• URL: http://arxiv.org/abs/2306.00672v1
• Date: Thu, 1 Jun 2023 13:44:45 GMT
• Title: Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking
• Authors: Mohamed Elaraby, Yang Zhong, Diane Litman
• Abstract summary: We propose a simple approach for the abstractive summarization of long legal opinions that considers the argument structure of the document. Our approach involves using argument role information to generate multiple candidate summaries, then reranking these candidates based on alignment with the document's argument structure. We demonstrate the effectiveness of our approach on a dataset of long legal opinions and show that it outperforms several strong baselines.
• Score: 6.9827388859232045
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We propose a simple approach for the abstractive summarization of long legal opinions that considers the argument structure of the document. Legal opinions often contain complex and nuanced argumentation, making it challenging to generate a concise summary that accurately captures the main points of the legal opinion. Our approach involves using argument role information to generate multiple candidate summaries, then reranking these candidates based on alignment with the document's argument structure. We demonstrate the effectiveness of our approach on a dataset of long legal opinions and show that it outperforms several strong baselines.

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