Attribute-Value Extraction: the case of a Real Estate Observatory

Autores
Tanevitch, Luciana; Fernández, Alejandro; Del Río, Juan Pablo; Torres, Diego
Año de publicación
2024
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Structured information is a valuable resource in information systems construction. The process of structuring unstructured data can be automated, but since machines can’t directly process natural language texts, NLP techniques are required. This work aims to evaluate different approaches to perform attribute-value extraction in real estate descriptions, in the context of the construction of a real estate observatory for the Province of Buenos Aires. The performance of each model is measured using precision, recall and F1-score with a partial matching approach.
Materia
Ciencias de la Computación e Información
Real Estate Observatory
Natural Language Processing
Information Extraction
Attribute Value Extraction
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/3.0/
Repositorio
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/12355
Acceder
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oai_identifier_str oai:digital.cic.gba.gob.ar:11746/12355
network_acronym_str CICBA
repository_id_str 9441
network_name_str CIC Digital (CICBA)
spelling Attribute-Value Extraction: the case of a Real Estate ObservatoryTanevitch, LucianaFernández, AlejandroDel Río, Juan PabloTorres, DiegoCiencias de la Computación e InformaciónReal Estate ObservatoryNatural Language ProcessingInformation ExtractionAttribute Value ExtractionStructured information is a valuable resource in information systems construction. The process of structuring unstructured data can be automated, but since machines can’t directly process natural language texts, NLP techniques are required. This work aims to evaluate different approaches to perform attribute-value extraction in real estate descriptions, in the context of the construction of a real estate observatory for the Province of Buenos Aires. The performance of each model is measured using precision, recall and F1-score with a partial matching approach.2024-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/12355enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/3.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-29T13:40:10Zoai:digital.cic.gba.gob.ar:11746/12355Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-29 13:40:10.524CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv Attribute-Value Extraction: the case of a Real Estate Observatory
title Attribute-Value Extraction: the case of a Real Estate Observatory
spellingShingle Attribute-Value Extraction: the case of a Real Estate Observatory
Tanevitch, Luciana
Ciencias de la Computación e Información
Real Estate Observatory
Natural Language Processing
Information Extraction
Attribute Value Extraction
title_short Attribute-Value Extraction: the case of a Real Estate Observatory
title_full Attribute-Value Extraction: the case of a Real Estate Observatory
title_fullStr Attribute-Value Extraction: the case of a Real Estate Observatory
title_full_unstemmed Attribute-Value Extraction: the case of a Real Estate Observatory
title_sort Attribute-Value Extraction: the case of a Real Estate Observatory
dc.creator.none.fl_str_mv Tanevitch, Luciana
Fernández, Alejandro
Del Río, Juan Pablo
Torres, Diego
author Tanevitch, Luciana
author_facet Tanevitch, Luciana
Fernández, Alejandro
Del Río, Juan Pablo
Torres, Diego
author_role author
author2 Fernández, Alejandro
Del Río, Juan Pablo
Torres, Diego
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias de la Computación e Información
Real Estate Observatory
Natural Language Processing
Information Extraction
Attribute Value Extraction
topic Ciencias de la Computación e Información
Real Estate Observatory
Natural Language Processing
Information Extraction
Attribute Value Extraction
dc.description.none.fl_txt_mv Structured information is a valuable resource in information systems construction. The process of structuring unstructured data can be automated, but since machines can’t directly process natural language texts, NLP techniques are required. This work aims to evaluate different approaches to perform attribute-value extraction in real estate descriptions, in the context of the construction of a real estate observatory for the Province of Buenos Aires. The performance of each model is measured using precision, recall and F1-score with a partial matching approach.
description Structured information is a valuable resource in information systems construction. The process of structuring unstructured data can be automated, but since machines can’t directly process natural language texts, NLP techniques are required. This work aims to evaluate different approaches to perform attribute-value extraction in real estate descriptions, in the context of the construction of a real estate observatory for the Province of Buenos Aires. The performance of each model is measured using precision, recall and F1-score with a partial matching approach.
publishDate 2024
dc.date.none.fl_str_mv 2024-08
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv https://digital.cic.gba.gob.ar/handle/11746/12355
url https://digital.cic.gba.gob.ar/handle/11746/12355
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/3.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/3.0/
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:CIC Digital (CICBA)
instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron:CICBA
reponame_str CIC Digital (CICBA)
collection CIC Digital (CICBA)
instname_str Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron_str CICBA
institution CICBA
repository.name.fl_str_mv CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
repository.mail.fl_str_mv marisa.degiusti@sedici.unlp.edu.ar
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score 13.070432

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