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Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation
  • +6
  • Shubham Kumar Nigam,
  • Aniket Deroy,
  • Noel Shallum,
  • Ayush Kumar Mishra,
  • Anup Roy,
  • Shubham Kumar Mishra,
  • Arnab Bhattacharya,
  • Saptarshi Ghosh,
  • Kripabandhu Ghosh
Shubham Kumar Nigam
Aniket Deroy
IIT Kharagpur

Corresponding Author:[email protected]

Author Profile
Noel Shallum
Symbiosis Law School Pune
Ayush Kumar Mishra
Anup Roy
Shubham Kumar Mishra
Arnab Bhattacharya
Saptarshi Ghosh
IIT Kharagpur
Kripabandhu Ghosh
IISER Kolkata


This paper describes our submission to the SemEval-2023 for Task 6 on LegalEval: Understanding Legal Texts. Our submission concentrated on three subtasks: Legal Named Entity Recognition (L-NER) for Task-B, Legal Judgment Prediction (LJP) for Task-C1, and Court Judgment Prediction with Explanation (CJPE) for Task-C2. We conducted various experiments on these subtasks and presented the results in detail, including data statistics and methodology. It is worth noting that legal tasks, such as those tackled in this research, have been gaining importance due to the increasing need to automate legal analysis and support. Our team obtained competitive rankings of 15th , 11th , and 1st in Task-B, Task-C1, and Task-C2, respectively, as reported on the leaderboard.
18 May 2024Submitted to TechRxiv
24 May 2024Published in TechRxiv