mlsanityData to 7 Oct 2026

Computing and Exploiting Document Structure to Improve Unsupervised Extractive Summarization of Legal Case Decisions

arXiv 2211.03229 ↗First posted 6 Nov 2022cs.CLcited by 8

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Abstract (arXiv)

Though many algorithms can be used to automatically summarize legal case decisions, most fail to incorporate domain knowledge about how important sentences in a legal decision relate to a representation of its document structure. For example, analysis of a legal case summarization dataset demonstrates that sentences serving different types of argumentative roles in the decision appear in different sections of the document. In this work, we propose an unsupervised graph-based ranking model that uses a reweighting algorithm to exploit properties of the document structure of legal case decisions. We also explore the impact of using different methods to compute the document structure. Results on the Canadian Legal Case Law dataset show that our proposed method outperforms several strong baselines.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 26 of its 49 references that are in the map. First posted on arXiv 6 Nov 2022.

Builds on

26 of 49 references.

References · 26

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  3. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
  4. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,462
  5. 2020Longformer: The Long-Document Transformercited by 3,362
  6. 2020Big Bird: Transformers for Longer Sequencescited by 1,673
  7. 2019PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarizationcited by 1,100
  8. 2020On Faithfulness and Factuality in Abstractive Summarizationcited by 895
  9. 2016Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyondcited by 809
  10. 2019Evaluating the Factual Consistency of Abstractive Text Summarizationcited by 578
  11. 2019Text Summarization with Pretrained Encoderscited by 553
  12. 2018A Discourse-Aware Attention Model for Abstractive Summarization of Long Documentscited by 477
14 more
  1. 2015A Neural Attention Model for Abstractive Sentence Summarizationcited by 394
  2. 2016SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documentscited by 245
  3. 2019Neural Text Summarization: A Critical Evaluationcited by 189
  4. 2019BillSum: A Corpus for Automatic Summarization of US Legislationcited by 117
  5. 2019Discourse-Aware Neural Extractive Text Summarizationcited by 104
  6. 2020Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarizationcited by 72
  7. 2019Sentence Centrality Revisited for Unsupervised Summarizationcited by 64
  8. 2022HEGEL: Hypergraph Transformer for Long Document Summarizationcited by 28
  9. 2016Variations of the Similarity Function of TextRank for Automated Summarizationcited by 27
  10. 2021Semantic Segmentation of Legal Documents via Rhetorical Rolescited by 26
  11. 2022HiStruct+: Improving Extractive Text Summarization with Hierarchical Structure Informationcited by 26
  12. 2022ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Miningcited by 25
  13. 2021Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documentscited by 23
  14. 2021A New Sentence Extraction Strategy for Unsupervised Extractive Summarization Methodscited by 1

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Cited by year

Citing papers per year: 2023: 3; 2024: 2; 2025: 3.

8 papers.

  1. 2024Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challengescited by 42
  2. 2023Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Rerankingcited by 9
  3. 2024LexAbSumm: Aspect-based Summarization of Legal Decisionscited by 9
  4. 2025A Comprehensive Survey on Legal Summarization: Challenges and Future Directionscited by 6
  5. 2023Argumentative Segmentation Enhancement for Legal Summarizationcited by 4
  6. 2023STRONG -- Structure Controllable Legal Opinion Summary Generationcited by 3
  7. 2025Legal Rule Induction: Towards Generalizable Principle Discovery from Analogous Judicial Precedentscited by 3
  8. 2025MASLegalBench: Benchmarking Multi-Agent Systems in Deductive Legal Reasoningcited by 3