Faithfulness and Content Selection in Long-Input Multi-Document Summarisation of U.S. Civil Rights Litigation
Open Access
- 16 June 2025
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 384-388
Abstract
No abstract availableThis publication has 15 references indexed in Scilit:
- Summarizing Legal Regulatory Documents using Transformers2022
- Semantic Self-Segmentation for Abstractive Summarization of Long Documents in Low-Resource RegimesProceedings of the AAAI Conference on Artificial Intelligence, 2022
- Improving abstractive summarization of legal rulings through textual entailmentArtificial Intelligence and Law, 2021
- When does pretraining help?2021
- Toward summarizing case decisions via extracting argument issues, reasons, and conclusions2021
- Towards Explainable AI: Assessing the Usefulness and Impact of Added Explainability Features in Legal Document Summarization2021
- Reducing Quantity Hallucinations in Abstractive Summarization2020
- How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence2020
- A Comparative Study of Summarization Algorithms Applied to Legal Case Judgments2019
- Multi-Task Deep Learning for Legal Document Translation, Summarization and Multi-Label Classification2018