mlsanityData to 14 Oct 2026

Fact-based Court Judgment Prediction

arXiv 2311.13350 ↗First posted 22 Nov 2023cs.CL cs.AI cs.IRcited by 10

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Abstract (arXiv)

This extended abstract extends the research presented in "ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation" citemalik-etal-2021-ildc, focusing on fact-based judgment prediction within the context of Indian legal documents. We introduce two distinct problem variations: one based solely on facts, and another combining facts with rulings from lower courts (RLC). Our research aims to enhance early-phase case outcome prediction, offering significant benefits to legal professionals and the general public. The results, however, indicated a performance decline compared to the original ILDC for CJPE study, even after implementing various weightage schemes in our DELSumm algorithm. Additionally, using only facts for legal judgment prediction with different transformer models yielded results inferior to the state-of-the-art outcomes reported in the "ILDC for CJPE" study.

Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 11 of its 18 references that are in the map. First posted on arXiv 22 Nov 2023.

Builds on

11 of 18 references.

References · 11

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2019XLNet: Generalized Autoregressive Pretraining for Language Understandingcited by 2,811
  3. 2018CAIL2018: A Large-Scale Legal Dataset for Judgment Predictioncited by 170
  4. 2021ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanationcited by 78
  5. 2019Identification of Rhetorical Roles of Sentences in Indian Legal Judgmentscited by 39
  6. 2022Pre-trained Language Models for the Legal Domain: A Case Study on Indian Lawcited by 39
  7. 2021Semantic Segmentation of Legal Documents via Rhetorical Rolescited by 26
  8. 2022Corpus for Automatic Structuring of Legal Documentscited by 25
  9. 2021Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documentscited by 23
  10. 2023U-CREAT: Unsupervised Case Retrieval using Events extrAcTioncited by 16
  11. 2022nigam@COLIEE-22: Legal Case Retrieval and Entailment using Cascading of Lexical and Semantic-based modelscited by 9

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 6; 2025: 3; 2026: 1.

10 papers.