BB25HLegalSum : a method for legal document summarization that leverages BM25 and BERT-based clustering
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Date
2024Advisor
Academic level
Master
Type
Subject
Abstract
Legal document summarization aims to provide a clear understanding of the main points and arguments in a legal document, contributing to the efficiency of the judicial system. In this work, we propose BB25HLegalSum, a method that combines BERT clusters with the BM25 algorithm to summarize legal documents and present them to users with highlighted important information. The process involves selecting unique sentences from the original document, clustering them to find sentences about a similar s ...
Legal document summarization aims to provide a clear understanding of the main points and arguments in a legal document, contributing to the efficiency of the judicial system. In this work, we propose BB25HLegalSum, a method that combines BERT clusters with the BM25 algorithm to summarize legal documents and present them to users with highlighted important information. The process involves selecting unique sentences from the original document, clustering them to find sentences about a similar subject, scoring clusters and sentences to generate a summary according to three strategies, and highlighting them to the user in the original document. Legal workers positively assessed the highlighted presentation. ...
Institution
Universidade Federal do Rio Grande do Sul. Instituto de Informática. Programa de Pós-Graduação em Computação.
Collections
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Exact and Earth Sciences (5041)Computation (1733)
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