Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation
October 17, 2023 ยท Declared Dead ยท ๐ International Workshop on Semantic Evaluation
"No code URL or promise found in abstract"
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Authors
Shubham Kumar Nigam, Aniket Deroy, Noel Shallum, Ayush Kumar Mishra, Anup Roy, Shubham Kumar Mishra, Arnab Bhattacharya, Saptarshi Ghosh, Kripabandhu Ghosh
arXiv ID
2310.11049
Category
cs.CL: Computation & Language
Cross-listed
cs.AI,
cs.IR,
cs.LG
Citations
13
Venue
International Workshop on Semantic Evaluation
Last Checked
5 months ago
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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