Named Entity Extraction in Requirement Specification: A Comparison

Autores
Tanevitch, Luciana; Antonelli, Leandro; Torres, Diego
Año de publicación
2023
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Software requirements specifications generally are written in natural language. Identifying and extracting the main concepts involved in a requirements specification could be useful for the development process, quality assurance, and software maintenance. However, a computer agent is not able to process and understand immediately the content and information included in the natural language documents. Named entity extraction is a task that involves recognizing entities in a text and linking them to a knowledge graph to disambiguate them. In the field of requirements, applying this task can be useful for building structures that allow for the representation and efficient management of complex information. Different tools are focused in entity extraction and then an entity linking with a specific knowledge graph such as Wikidata. This work compares different named entity extraction tools in the task of extracting entities in a requirements specification.
Materia
Named Entity Extraction
Knowledge graph
Requirements engineering
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/12154
Acceder
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oai_identifier_str oai:digital.cic.gba.gob.ar:11746/12154
network_acronym_str CICBA
repository_id_str 9441
network_name_str CIC Digital (CICBA)
spelling Named Entity Extraction in Requirement Specification: A ComparisonTanevitch, LucianaAntonelli, LeandroTorres, DiegoNamed Entity ExtractionKnowledge graphRequirements engineeringSoftware requirements specifications generally are written in natural language. Identifying and extracting the main concepts involved in a requirements specification could be useful for the development process, quality assurance, and software maintenance. However, a computer agent is not able to process and understand immediately the content and information included in the natural language documents. Named entity extraction is a task that involves recognizing entities in a text and linking them to a knowledge graph to disambiguate them. In the field of requirements, applying this task can be useful for building structures that allow for the representation and efficient management of complex information. Different tools are focused in entity extraction and then an entity linking with a specific knowledge graph such as Wikidata. This work compares different named entity extraction tools in the task of extracting entities in a requirements specification.2023-06info: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/11746/12154enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-29T13:40:08Zoai:digital.cic.gba.gob.ar:11746/12154Institucionalhttp://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 13:40:08.822CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv Named Entity Extraction in Requirement Specification: A Comparison
title Named Entity Extraction in Requirement Specification: A Comparison
spellingShingle Named Entity Extraction in Requirement Specification: A Comparison
Tanevitch, Luciana
Named Entity Extraction
Knowledge graph
Requirements engineering
title_short Named Entity Extraction in Requirement Specification: A Comparison
title_full Named Entity Extraction in Requirement Specification: A Comparison
title_fullStr Named Entity Extraction in Requirement Specification: A Comparison
title_full_unstemmed Named Entity Extraction in Requirement Specification: A Comparison
title_sort Named Entity Extraction in Requirement Specification: A Comparison
dc.creator.none.fl_str_mv Tanevitch, Luciana
Antonelli, Leandro
Torres, Diego
author Tanevitch, Luciana
author_facet Tanevitch, Luciana
Antonelli, Leandro
Torres, Diego
author_role author
author2 Antonelli, Leandro
Torres, Diego
author2_role author
author
dc.subject.none.fl_str_mv Named Entity Extraction
Knowledge graph
Requirements engineering
topic Named Entity Extraction
Knowledge graph
Requirements engineering
dc.description.none.fl_txt_mv Software requirements specifications generally are written in natural language. Identifying and extracting the main concepts involved in a requirements specification could be useful for the development process, quality assurance, and software maintenance. However, a computer agent is not able to process and understand immediately the content and information included in the natural language documents. Named entity extraction is a task that involves recognizing entities in a text and linking them to a knowledge graph to disambiguate them. In the field of requirements, applying this task can be useful for building structures that allow for the representation and efficient management of complex information. Different tools are focused in entity extraction and then an entity linking with a specific knowledge graph such as Wikidata. This work compares different named entity extraction tools in the task of extracting entities in a requirements specification.
description Software requirements specifications generally are written in natural language. Identifying and extracting the main concepts involved in a requirements specification could be useful for the development process, quality assurance, and software maintenance. However, a computer agent is not able to process and understand immediately the content and information included in the natural language documents. Named entity extraction is a task that involves recognizing entities in a text and linking them to a knowledge graph to disambiguate them. In the field of requirements, applying this task can be useful for building structures that allow for the representation and efficient management of complex information. Different tools are focused in entity extraction and then an entity linking with a specific knowledge graph such as Wikidata. This work compares different named entity extraction tools in the task of extracting entities in a requirements specification.
publishDate 2023
dc.date.none.fl_str_mv 2023-06
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
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info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv https://digital.cic.gba.gob.ar/handle/11746/12154
url https://digital.cic.gba.gob.ar/handle/11746/12154
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
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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