@inproceedings{nigam-etal-2023-nonet,
    title = "Nonet at {S}em{E}val-2023 Task 6: Methodologies for Legal Evaluation",
    author = "Nigam, Shubham Kumar  and
      Deroy, Aniket  and
      Shallum, Noel  and
      Mishra, Ayush Kumar  and
      Roy, Anup  and
      Mishra, Shubham Kumar  and
      Bhattacharya, Arnab  and
      Ghosh, Saptarshi  and
      Ghosh, Kripabandhu",
    editor = {Ojha, Atul Kr.  and
      Do{\u{g}}ru{\"o}z, A. Seza  and
      Da San Martino, Giovanni  and
      Tayyar Madabushi, Harish  and
      Kumar, Ritesh  and
      Sartori, Elisa},
    booktitle = "Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.semeval-1.180",
    doi = "10.18653/v1/2023.semeval-1.180",
    pages = "1293--1303",
    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 15th, 11th, and 1st in Task-B, Task-C1, and Task-C2, respectively, as reported on the leaderboard.",
}

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.
Nigam, Shubham Kumar Deroy, Aniket Shallum, Noel Mishra, Ayush Kumar Roy, Anup Mishra, Shubham Kumar Bhattacharya, Arnab Ghosh, Saptarshi Ghosh, Kripab hu
Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation