Legal information retrieval system with entity-based query expansion: case study in traffic accident litigation

This article describes an information retrieval system with entity query expansion by relevance feedback. The performance of the system is tested assuming its usage as a support tool for lawyers constructing a legal framework for a case. The objective is to improve the precision of results when sear...

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Autores principales: Catacora, Joel, Casali, Ana, Deco, Claudia
Formato: Articulo
Lenguaje:Inglés
Publicado: 2022
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/146929
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id I19-R120-10915-146929
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Information retrieval
Relevance feedback
Query expansion
Legal knowledge base
Recuperación de información
Retroalimentación por relevancia
Expansión de la consulta
Base de conocimiento legal
spellingShingle Ciencias Informáticas
Information retrieval
Relevance feedback
Query expansion
Legal knowledge base
Recuperación de información
Retroalimentación por relevancia
Expansión de la consulta
Base de conocimiento legal
Catacora, Joel
Casali, Ana
Deco, Claudia
Legal information retrieval system with entity-based query expansion: case study in traffic accident litigation
topic_facet Ciencias Informáticas
Information retrieval
Relevance feedback
Query expansion
Legal knowledge base
Recuperación de información
Retroalimentación por relevancia
Expansión de la consulta
Base de conocimiento legal
description This article describes an information retrieval system with entity query expansion by relevance feedback. The performance of the system is tested assuming its usage as a support tool for lawyers constructing a legal framework for a case. The objective is to improve the precision of results when searching for relevant jurisprudence. For this, the entities belonging to a knowledge base are used as a means to expand the query. The expansion can be done using either an automatic or an interactive mechanism. This second approach suggests to the user concepts related to the query, which might improve the search experience. An ontology and a knowledge base, called LegalOnto and LegalBase, respectively, were developed. The ontology includes concepts not addressed by existing legal ontologies, and the knowledge base integrates LegalOnto with the thesaurus of the Argentine System of Legal Information (Sistema Argentino de Información Jurídica: SALT), enriched in the subject of traffic accidents. Quantitative experimentation is carried out upon a set of court documents that are used to populate the knowledge base. Preliminary results are encouraging.
format Articulo
Articulo
author Catacora, Joel
Casali, Ana
Deco, Claudia
author_facet Catacora, Joel
Casali, Ana
Deco, Claudia
author_sort Catacora, Joel
title Legal information retrieval system with entity-based query expansion: case study in traffic accident litigation
title_short Legal information retrieval system with entity-based query expansion: case study in traffic accident litigation
title_full Legal information retrieval system with entity-based query expansion: case study in traffic accident litigation
title_fullStr Legal information retrieval system with entity-based query expansion: case study in traffic accident litigation
title_full_unstemmed Legal information retrieval system with entity-based query expansion: case study in traffic accident litigation
title_sort legal information retrieval system with entity-based query expansion: case study in traffic accident litigation
publishDate 2022
url http://sedici.unlp.edu.ar/handle/10915/146929
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