Incm & Nova Sbe Pbl project - retirement law query system: performance analysis & evaluation of bert for extractive question-answering of portuguese retirement law

Detalhes bibliográficos
Autor(a) principal: Araújo, Ricardo Luís Ferreira Morais de
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/153749
Resumo: This study presents a performance evaluation of the model BERT for an Extractive Question Answering task applied to the domain of Portuguese Retirement Law. By using multiple standard metrics in information retrieval solutions, the study measures how the Portuguese BERT performs as a semantic search solution on Portuguese Retirement Law by comparing its answers with a testing set composed of 180 questions and answers provided by INCM. The study revealed that the solution showed positive results. A form was also distributed to INCM, which indicated positive feedback when comparing it with the current solution implemented. This project showed that the Portuguese BERT is a very promising tool that can be used for Extractive Question Answering and for semantic search on various other domains.
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spelling Incm & Nova Sbe Pbl project - retirement law query system: performance analysis & evaluation of bert for extractive question-answering of portuguese retirement lawData scienceBusiness analyticsBusiness and data analyticsNlpBertExtractive qaSemantic searchDomínio/Área Científica::Ciências Sociais::Economia e GestãoThis study presents a performance evaluation of the model BERT for an Extractive Question Answering task applied to the domain of Portuguese Retirement Law. By using multiple standard metrics in information retrieval solutions, the study measures how the Portuguese BERT performs as a semantic search solution on Portuguese Retirement Law by comparing its answers with a testing set composed of 180 questions and answers provided by INCM. The study revealed that the solution showed positive results. A form was also distributed to INCM, which indicated positive feedback when comparing it with the current solution implemented. This project showed that the Portuguese BERT is a very promising tool that can be used for Extractive Question Answering and for semantic search on various other domains.Xufre, PatríciaMagalhães, JoãoRUNAraújo, Ricardo Luís Ferreira Morais de2023-06-09T15:54:30Z2022-01-202021-12-172022-01-20T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/153749TID:203231953enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:36:18Zoai:run.unl.pt:10362/153749Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:55:23.644602Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Incm & Nova Sbe Pbl project - retirement law query system: performance analysis & evaluation of bert for extractive question-answering of portuguese retirement law
title Incm & Nova Sbe Pbl project - retirement law query system: performance analysis & evaluation of bert for extractive question-answering of portuguese retirement law
spellingShingle Incm & Nova Sbe Pbl project - retirement law query system: performance analysis & evaluation of bert for extractive question-answering of portuguese retirement law
Araújo, Ricardo Luís Ferreira Morais de
Data science
Business analytics
Business and data analytics
Nlp
Bert
Extractive qa
Semantic search
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Incm & Nova Sbe Pbl project - retirement law query system: performance analysis & evaluation of bert for extractive question-answering of portuguese retirement law
title_full Incm & Nova Sbe Pbl project - retirement law query system: performance analysis & evaluation of bert for extractive question-answering of portuguese retirement law
title_fullStr Incm & Nova Sbe Pbl project - retirement law query system: performance analysis & evaluation of bert for extractive question-answering of portuguese retirement law
title_full_unstemmed Incm & Nova Sbe Pbl project - retirement law query system: performance analysis & evaluation of bert for extractive question-answering of portuguese retirement law
title_sort Incm & Nova Sbe Pbl project - retirement law query system: performance analysis & evaluation of bert for extractive question-answering of portuguese retirement law
author Araújo, Ricardo Luís Ferreira Morais de
author_facet Araújo, Ricardo Luís Ferreira Morais de
author_role author
dc.contributor.none.fl_str_mv Xufre, Patrícia
Magalhães, João
RUN
dc.contributor.author.fl_str_mv Araújo, Ricardo Luís Ferreira Morais de
dc.subject.por.fl_str_mv Data science
Business analytics
Business and data analytics
Nlp
Bert
Extractive qa
Semantic search
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Data science
Business analytics
Business and data analytics
Nlp
Bert
Extractive qa
Semantic search
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description This study presents a performance evaluation of the model BERT for an Extractive Question Answering task applied to the domain of Portuguese Retirement Law. By using multiple standard metrics in information retrieval solutions, the study measures how the Portuguese BERT performs as a semantic search solution on Portuguese Retirement Law by comparing its answers with a testing set composed of 180 questions and answers provided by INCM. The study revealed that the solution showed positive results. A form was also distributed to INCM, which indicated positive feedback when comparing it with the current solution implemented. This project showed that the Portuguese BERT is a very promising tool that can be used for Extractive Question Answering and for semantic search on various other domains.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-17
2022-01-20
2022-01-20T00:00:00Z
2023-06-09T15:54:30Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/153749
TID:203231953
url http://hdl.handle.net/10362/153749
identifier_str_mv TID:203231953
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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