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20192026
most citedPre-trained Language Models for the Legal Domain: A Case Study on Indian Law

27 citations · 42 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

ILSIC: Corpora for Identifying Indian Legal Statutes from Queries by Laypeople

Shounak Paul, Raghav Dogra, Pawan Goyal +1

Legal Statute Identification (LSI) for a given situation is one of the most fundamental tasks in Legal NLP. This task has traditionally been modeled using facts from court judgment…

cs.CL2025

IL-PCSR: Legal Corpus for Prior Case and Statute Retrieval

Shounak Paul, Dhananjay Ghumare, Pawan Goyal +2

Identifying/retrieving relevant statutes and prior cases/precedents for a given legal situation are common tasks exercised by law practitioners. Researchers to date have addressed…

cs.CL2024★ 1 cited

IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning

Abhinav Joshi, Shounak Paul, Akshat Sharma +3

Legal systems worldwide are inundated with exponential growth in cases and documents. There is an imminent need to develop NLP and ML techniques for automatically processing and un…

cs.CL2022★ 27 cited

Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law

Shounak Paul, Arpan Mandal, Pawan Goyal +1

NLP in the legal domain has seen increasing success with the emergence of Transformer-based Pre-trained Language Models (PLMs) pre-trained on legal text. PLMs trained over European…

cs.CL2021★ 3 cited

LeSICiN: A Heterogeneous Graph-based Approach for Automatic Legal Statute Identification from Indian Legal Documents

Shounak Paul, Pawan Goyal, Saptarshi Ghosh

The task of Legal Statute Identification (LSI) aims to identify the legal statutes that are relevant to a given description of Facts or evidence of a legal case. Existing methods o…