mlsanityData to 14 Oct 2026

LexAbSumm: Aspect-based Summarization of Legal Decisions

arXiv 2404.00594 ↗First posted 31 Mar 2024cs.CLcited by 9

Not on the map. Why?

Abstract (arXiv)

Legal professionals frequently encounter long legal judgments that hold critical insights for their work. While recent advances have led to automated summarization solutions for legal documents, they typically provide generic summaries, which may not meet the diverse information needs of users. To address this gap, we introduce LexAbSumm, a novel dataset designed for aspect-based summarization of legal case decisions, sourced from the European Court of Human Rights jurisdiction. We evaluate several abstractive summarization models tailored for longer documents on LexAbSumm, revealing a challenge in conditioning these models to produce aspect-specific summaries. We release LexAbSum to facilitate research in aspect-based summarization for legal domain.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 33 of its 55 references that are in the map. First posted on arXiv 31 Mar 2024.

Builds on

33 of 55 references.

References · 33

  1. 2014Adam: A Method for Stochastic Optimizationcited by 37,240
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  3. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,893
  4. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,512
  5. 2020Longformer: The Long-Document Transformercited by 3,413
  6. 2017Get To The Point: Summarization with Pointer-Generator Networkscited by 1,292
  7. 2021QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarizationcited by 365
  8. 2018Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategiescited by 294
  9. 2016SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documentscited by 246
  10. 2021LongT5: Efficient Text-To-Text Transformer for Long Sequencescited by 232
  11. 2019Neural Legal Judgment Prediction in Englishcited by 209
  12. 2023Unlimiformer: Long-Range Transformers with Unlimited Length Inputcited by 128
21 more
  1. 2021Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Casescited by 77
  2. 2018Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervisedcited by 75
  3. 2022Efficient Long-Text Understanding with Short-Text Modelscited by 71
  4. 2020WikiAsp: A Dataset for Multi-domain Aspect-based Summarizationcited by 56
  5. 2022SQuALITY: Building a Long-Document Summarization Dataset the Hard Waycited by 50
  6. 2022Multi-LexSum: Real-World Summaries of Civil Rights Lawsuits at Multiple Granularitiescited by 47
  7. 2021ASPECTNEWS: Aspect-Oriented Summarization of News Documentscited by 37
  8. 2022Mining Legal Arguments in Court Decisionscited by 35
  9. 2021Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documentscited by 33
  10. 2022NEWTS: A Corpus for News Topic-Focused Summarizationcited by 27
  11. 2022ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Miningcited by 25
  12. 2022Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Expertscited by 24
  13. 2022OASum: Large-Scale Open Domain Aspect-based Summarizationcited by 24
  14. 2021Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documentscited by 23
  15. 2020CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systemscited by 17
  16. 2023Zero-shot Transfer of Article-aware Legal Outcome Classification for European Court of Human Rights Casescited by 14
  17. 2023From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classificationcited by 14
  18. 2023Leveraging Task Dependency and Contrastive Learning for Case Outcome Classification on European Court of Human Rights Casescited by 12
  19. 2022Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevancecited by 9
  20. 2022Computing and Exploiting Document Structure to Improve Unsupervised Extractive Summarization of Legal Case Decisionscited by 8
  21. 2015Aspect-based Opinion Summarization with Convolutional Neural Networkscited by 6

Built on by

Cited by year

Citing papers per year: 2024: 2; 2025: 7.

9 papers.

  1. 2024MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflowscited by 19
  2. 2024LexSumm and LexT5: Benchmarking and Modeling Legal Summarization Tasks in Englishcited by 8
  3. 2025A Comprehensive Survey on Legal Summarization: Challenges and Future Directionscited by 6
  4. 2025Unstructured Evidence Attribution for Long Context Query Focused Summarizationcited by 5
  5. 2025CoPERLex: Content Planning with Event-based Representations for Legal Case Summarizationcited by 4
  6. 2025Aspect-Based Summarization with Self-Aspect Retrieval Enhanced Generationcited by 3
  7. 2025LexGenie: Automated Generation of Structured Reports for European Court of Human Rights Case Lawcited by 2
  8. 2025Stress Testing Factual Consistency Metrics for Long-Document Summarizationcited by 2
  9. 2025RELexED: Retrieval-Enhanced Legal Summarization with Exemplar Diversitycited by 1