mlsanityData to 14 Oct 2026

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

arXiv 2306.00672 ↗First posted 1 Jun 2023cs.CLcited by 9

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Abstract (arXiv)

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.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 22 of its 34 references that are in the map. First posted on arXiv 1 Jun 2023.

Builds on

22 of 34 references.

References · 22

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  4. 2020Longformer: The Long-Document Transformercited by 3,413
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  8. 2021When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Datasetcited by 201
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  10. 2022BRIO: Bringing Order to Abstractive Summarizationcited by 161
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  12. 2021MS2: Multi-Document Summarization of Medical Studiescited by 80
10 more
  1. 2019Sentence Centrality Revisited for Unsupervised Summarizationcited by 65
  2. 2022SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarizationcited by 61
  3. 2021ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Miningcited by 38
  4. 2022Mining Legal Arguments in Court Decisionscited by 35
  5. 2022ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Miningcited by 25
  6. 2021A Bag of Tricks for Dialogue Summarizationcited by 13
  7. 2022ICDBigBird: A Contextual Embedding Model for ICD Code Classificationcited by 10
  8. 2022Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevancecited by 9
  9. 2022Computing and Exploiting Document Structure to Improve Unsupervised Extractive Summarization of Legal Case Decisionscited by 8
  10. 2022Multi-granularity Argument Mining in Legal Textscited by 7

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 3; 2025: 5; 2026: 1.

9 papers.

  1. 2025Large Language Models in Argument Mining: A Surveycited by 14
  2. 2024Beyond Borders: Investigating Cross-Jurisdiction Transfer in Legal Case Summarizationcited by 8
  3. 2024LexSumm and LexT5: Benchmarking and Modeling Legal Summarization Tasks in Englishcited by 8
  4. 2025Discourse-Driven Evaluation: Unveiling Factual Inconsistency in Long Document Summarizationcited by 8
  5. 2025A Comprehensive Survey on Legal Summarization: Challenges and Future Directionscited by 6
  6. 2025CoPERLex: Content Planning with Event-based Representations for Legal Case Summarizationcited by 4
  7. 2025ARC: Argument Representation and Coverage Analysis for Zero-Shot Long Document Summarization with Instruction Following LLMscited by 3
  8. 2024PerSphere: A Comprehensive Framework for Multi-Faceted Perspective Retrieval and Summarizationcited by 1
  9. 2026Improving Argument Saliency Coverage in Small LLMs for Long Legal Opinion Summarization via Sequence-Level Distillationcited by 0