Extending pythonQA with knowledge from stackOverflow

Detalhes bibliográficos
Autor(a) principal: Azevedo, Renato Preigschadt de
Data de Publicação: 2018
Outros Autores: Henriques, Pedro Rangel, Pereira, Maria João
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10198/17944
Resumo: Question and Answering (QA) Systems provide a platform where users can ask questions in natural language to a system and get answers retrieved from a knowledge base. The work proposed in PythonQA create a Question and Answer System for the Python Programming Language. The knowledge is built from the Python Frequent Answered Questions (PyFAQ). In this paper, we extend the PythonQA system by enhancing the Knowledge Base with Question-Answer pairs from the StackExchange Python Question Answering Community Site. Some tests were performed to analyze the impact of a richer Knowledge Base on the PythonQA system, increasing the number of answer candidates.
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spelling Extending pythonQA with knowledge from stackOverflowQuestion and answering systemsNatural language processingStackexchangeQuestion and Answering (QA) Systems provide a platform where users can ask questions in natural language to a system and get answers retrieved from a knowledge base. The work proposed in PythonQA create a Question and Answer System for the Python Programming Language. The knowledge is built from the Python Frequent Answered Questions (PyFAQ). In this paper, we extend the PythonQA system by enhancing the Knowledge Base with Question-Answer pairs from the StackExchange Python Question Answering Community Site. Some tests were performed to analyze the impact of a richer Knowledge Base on the PythonQA system, increasing the number of answer candidates.Springer International PublishingBiblioteca Digital do IPBAzevedo, Renato Preigschadt deHenriques, Pedro RangelPereira, Maria João2018-08-15T11:30:15Z20182018-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10198/17944engAzevedo, Renato Preigschadt de; Henriques, Pedro Rangel; Pereira, Maria João (2018). Extending pythonQA with knowledge from stackOverflow. In Trends and Advances in Information Systems and Technologies. WorldCIST'18. Advances in Intelligent Systems and Computing. Springer, p. 568-575. ISBN 978-3-319-77703-0978-3-319-77702-310.1007/978-3-319-77703-0_56info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-25T12:08:09Zoai:bibliotecadigital.ipb.pt:10198/17944Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T11:34:46.513212Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Extending pythonQA with knowledge from stackOverflow
title Extending pythonQA with knowledge from stackOverflow
spellingShingle Extending pythonQA with knowledge from stackOverflow
Azevedo, Renato Preigschadt de
Question and answering systems
Natural language processing
Stackexchange
title_short Extending pythonQA with knowledge from stackOverflow
title_full Extending pythonQA with knowledge from stackOverflow
title_fullStr Extending pythonQA with knowledge from stackOverflow
title_full_unstemmed Extending pythonQA with knowledge from stackOverflow
title_sort Extending pythonQA with knowledge from stackOverflow
author Azevedo, Renato Preigschadt de
author_facet Azevedo, Renato Preigschadt de
Henriques, Pedro Rangel
Pereira, Maria João
author_role author
author2 Henriques, Pedro Rangel
Pereira, Maria João
author2_role author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Azevedo, Renato Preigschadt de
Henriques, Pedro Rangel
Pereira, Maria João
dc.subject.por.fl_str_mv Question and answering systems
Natural language processing
Stackexchange
topic Question and answering systems
Natural language processing
Stackexchange
description Question and Answering (QA) Systems provide a platform where users can ask questions in natural language to a system and get answers retrieved from a knowledge base. The work proposed in PythonQA create a Question and Answer System for the Python Programming Language. The knowledge is built from the Python Frequent Answered Questions (PyFAQ). In this paper, we extend the PythonQA system by enhancing the Knowledge Base with Question-Answer pairs from the StackExchange Python Question Answering Community Site. Some tests were performed to analyze the impact of a richer Knowledge Base on the PythonQA system, increasing the number of answer candidates.
publishDate 2018
dc.date.none.fl_str_mv 2018-08-15T11:30:15Z
2018
2018-01-01T00:00:00Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/17944
url http://hdl.handle.net/10198/17944
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Azevedo, Renato Preigschadt de; Henriques, Pedro Rangel; Pereira, Maria João (2018). Extending pythonQA with knowledge from stackOverflow. In Trends and Advances in Information Systems and Technologies. WorldCIST'18. Advances in Intelligent Systems and Computing. Springer, p. 568-575. ISBN 978-3-319-77703-0
978-3-319-77702-3
10.1007/978-3-319-77703-0_56
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.publisher.none.fl_str_mv Springer International Publishing
publisher.none.fl_str_mv Springer International Publishing
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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