Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance

22 October 2022

Papers citing "Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance"

8 / 8 papers shown

Title
LexSumm and LexT5: Benchmarking and Modeling Legal Summarization Tasks in English T. Y. S. S. Santosh Cornelius Weiss Matthias Grabmair AILaw ELM 47 2 0 12 Oct 2024
Better RAG using Relevant Information Gain Marc Pickett Jeremy Hartman Ayan Kumar Bhowmick Raquib-ul Alam Aditya Vempaty RALM 30 3 0 16 Jul 2024
LexAbSumm: Aspect-based Summarization of Legal Decisions Santosh T.Y.S.S Mahmoud Aly Matthias Grabmair AILaw ELM 30 6 0 31 Mar 2024
Beyond Borders: Investigating Cross-Jurisdiction Transfer in Legal Case Summarization Santosh T.Y.S.S Vatsal Venkatkrishna Saptarshi Ghosh Matthias Grabmair ELM 40 4 0 28 Mar 2024
How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization? Aniket Deroy Kripabandhu Ghosh Saptarshi Ghosh ELM AILaw 11 60 0 02 Jun 2023
Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking Mohamed S. Elaraby Yang Zhong Diane Litman AILaw ELM 15 7 0 01 Jun 2023
What to Read in a Contract? Party-Specific Summarization of Legal Obligations, Entitlements, and Prohibitions Abhilasha Sancheti Aparna Garimella Balaji Vasan Srinivasan Rachel Rudinger AILaw 15 2 0 19 Dec 2022
Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains Jaromír Šavelka Hannes Westermann Karim Benyekhlef Charlotte S. Alexander Jayla C. Grant ... Matthias Grabmair Jakub Harasta Tereza Novotná Elizabeth Tippett Shiwanni Johnson AILaw 27 23 0 15 Dec 2021