LexAbSumm: Aspect-based Summarization of Legal Decisions

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Santosh, T. Y. S. S, Aly, Mahmoud, Grabmair, Matthias
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866929298499174400
author Santosh, T. Y. S. S
Aly, Mahmoud
Grabmair, Matthias
author_facet Santosh, T. Y. S. S
Aly, Mahmoud
Grabmair, Matthias
contents Legal professionals frequently encounter long legal judgments that hold critical insights for their work. While recent advances have led to automated summarization solutions for legal documents, they typically provide generic summaries, which may not meet the diverse information needs of users. To address this gap, we introduce LexAbSumm, a novel dataset designed for aspect-based summarization of legal case decisions, sourced from the European Court of Human Rights jurisdiction. We evaluate several abstractive summarization models tailored for longer documents on LexAbSumm, revealing a challenge in conditioning these models to produce aspect-specific summaries. We release LexAbSum to facilitate research in aspect-based summarization for legal domain.
format Preprint
id arxiv_https___arxiv_org_abs_2404_00594
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle LexAbSumm: Aspect-based Summarization of Legal Decisions
Santosh, T. Y. S. S
Aly, Mahmoud
Grabmair, Matthias
Computation and Language
Legal professionals frequently encounter long legal judgments that hold critical insights for their work. While recent advances have led to automated summarization solutions for legal documents, they typically provide generic summaries, which may not meet the diverse information needs of users. To address this gap, we introduce LexAbSumm, a novel dataset designed for aspect-based summarization of legal case decisions, sourced from the European Court of Human Rights jurisdiction. We evaluate several abstractive summarization models tailored for longer documents on LexAbSumm, revealing a challenge in conditioning these models to produce aspect-specific summaries. We release LexAbSum to facilitate research in aspect-based summarization for legal domain.
title LexAbSumm: Aspect-based Summarization of Legal Decisions
topic Computation and Language
url https://arxiv.org/abs/2404.00594