Incm & Nova Sbe Pbl project - retirement law query system: performance analysis & evaluation of bert for extractive question-answering of portuguese retirement law
Autor(a) principal: | |
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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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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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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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1799138141419864064 |