Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation

Shubham Kumar Nigam, Aniket Deroy, Noel Shallum, Ayush Kumar Mishra, Anup Roy +4 more
10/17/2023
cs.CLcs.AIcs.IR

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Abstract

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 15$^{th}$, 11$^{th}$, and 1$^{st}$ in Task-B, Task-C1, and Task-C2, respectively, as reported on the leaderboard.

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Cite this paper

@article{nigam2023nonet,
  title  = {Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation},
  author = {Shubham Kumar Nigam and Aniket Deroy and Noel Shallum and Ayush Kumar Mishra and Anup Roy and Shubham Kumar Mishra and Arnab Bhattacharya and Saptarshi Ghosh and Kripabandhu Ghosh},
  year   = {2023},
  eprint = {2310.11049},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2310.11049v1}
}

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