Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking (2023.findings-acl)
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| Challenge: | Existing summarization models struggle to accurately capture the main arguments of long legal opinions, leading to suboptimal summaries. |
| Approach: | They propose a framework for abstractive summarization of long legal opinions that takes into account the argument structure of the document and reranks them based on alignment with the document's argument structure. |
| Outcome: | The proposed approach outperforms several strong baselines on a dataset of long legal opinions and outperformed existing models. |
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