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

no code implementations • 13 Sep 2022 • Shounak Paul, Arpan Mandal, Pawan Goyal, Saptarshi Ghosh

With the rapidly increasing volume of Legal NLP applications in various countries, it has become necessary to pre-train such LMs over legal text of other countries as well.

Semantic Segmentation

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

1 code implementation • 29 Dec 2021 • 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.

Automatic Charge Identification from Facts: A Few Sentence-Level Charge Annotations is All You Need

1 code implementation • COLING 2020 • Shounak Paul, Pawan Goyal, Saptarshi Ghosh

Additionally, we propose a novel model that utilizes sentence-level charge labels as an auxiliary task, coupled with the main task of document-level charge identification in a multi-task learning framework.

Multi-Task Learning

Identification of Rhetorical Roles of Sentences in Indian Legal Judgments

1 code implementation • 13 Nov 2019 • Paheli Bhattacharya, Shounak Paul, Kripabandhu Ghosh, Saptarshi Ghosh, Adam Wyner

Automatically understanding the rhetorical roles of sentences in a legal case judgement is an important problem to solve, since it can help in several downstream tasks like summarization of legal judgments, legal search, and so on.