Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation

14 October 2022

Papers citing "Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation"

9 / 9 papers shown

Title
IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning Abhinav Joshi Shounak Paul Akshat Sharma Pawan Goyal Saptarshi Ghosh Ashutosh Modi AILaw ELM 47 7 0 07 Jul 2024
Applicability of Large Language Models and Generative Models for Legal Case Judgement Summarization Aniket Deroy Kripabandhu Ghosh Saptarshi Ghosh ELM AILaw 53 16 0 06 Jul 2024
Human Centered AI for Indian Legal Text Analytics Sudipto Ghosh Devanshu Verma Balaji Ganesan Purnima Bindal Vikas Kumar Vasudha Bhatnagar 52 1 0 16 Mar 2024
Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models Antoine Louis Gijs van Dijck Gerasimos Spanakis ELM AILaw 30 35 0 29 Sep 2023
Named Entity Recognition in Indian court judgments Prathamesh Kalamkar Astha Agarwal Aman Tiwari Smita Gupta S. Karn Vivek Raghavan AILaw 29 49 0 07 Nov 2022
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics Artidoro Pagnoni Vidhisha Balachandran Yulia Tsvetkov HILM 233 306 0 27 Apr 2021
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 261 1,436 0 22 Aug 2019
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents Ramesh Nallapati Feifei Zhai Bowen Zhou 207 1,255 0 14 Nov 2016
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 211 3,517 0 10 Jun 2015