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

Autores
Bazzana Tanevitch, Luciana; Fernández, Alejandro; Río, Juan Pablo del; 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.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
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/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/178459
Acceder
id SEDICI_708611ca7ad53e8db1d61acb05229a0e
oai_identifier_str oai:sedici.unlp.edu.ar:10915/178459
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Attribute-Value Extraction: The case of a Real Estate ObservatoryBazzana Tanevitch, LucianaFernández, AlejandroRío, Juan Pablo delTorres, DiegoCiencias InformáticasReal 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.Sociedad Argentina de Informática e Investigación Operativa2024-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf181-194http://sedici.unlp.edu.ar/handle/10915/178459enginfo:eu-repo/semantics/altIdentifier/url/https://revistas.unlp.edu.ar/JAIIO/article/view/17910info:eu-repo/semantics/altIdentifier/issn/2451-7496info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T17:28:43Zoai:sedici.unlp.edu.ar:10915/178459Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 17:28:43.977SEDICI (UNLP) - Universidad Nacional de La Platafalse
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
Bazzana Tanevitch, Luciana
Ciencias Informáticas
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 Bazzana Tanevitch, Luciana
Fernández, Alejandro
Río, Juan Pablo del
Torres, Diego
author Bazzana Tanevitch, Luciana
author_facet Bazzana Tanevitch, Luciana
Fernández, Alejandro
Río, Juan Pablo del
Torres, Diego
author_role author
author2 Fernández, Alejandro
Río, Juan Pablo del
Torres, Diego
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Real Estate Observatory
Natural Language Processing
Information Extraction
Attribute Value Extraction
topic Ciencias Informáticas
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.
Sociedad Argentina de Informática e Investigación Operativa
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
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/178459
url http://sedici.unlp.edu.ar/handle/10915/178459
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://revistas.unlp.edu.ar/JAIIO/article/view/17910
info:eu-repo/semantics/altIdentifier/issn/2451-7496
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
181-194
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1846783773119610880
score 12.982451

Publicaciones similares