A Review on Cooperative Question-Answering Systems

Detalhes bibliográficos
Autor(a) principal: Melo, Dora
Data de Publicação: 2013
Outros Autores: Pimenta Rodrigues, Irene, Beires Nogueira, Vitor
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/9452
Resumo: The Question-Answering (QA) systems fall in the study area of Information Retrieval (IR) and Natural Language Processing (NLP). Given a set of documents, a QA system tries to obtain the correct answer to the questions posed in Natural Language (NL). Normally, the QA systems comprise three main components: question classification, information retrieval and answer extraction. Question classification plays a major role in QA systems since it classifies questions according to the type in their entities. The techniques of information retrieval are used to obtain and to extract relevant answers in the knowledge domain. Finally, the answer extraction component is an emerging topic in the QA systems. This module basically classifies and validates the candidate answers. In this paper we present an overview of the QA systems, focusing on mature work that is related to cooperative systems and that has got as knowledge domain the Semantic Web (SW). Moreover, we also present our proposal of a cooperative QA for the SW.
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spelling A Review on Cooperative Question-Answering SystemsQuestion-Answering SystemsInformation RetrievalInformation ExtractionNatural Language ProcessingThe Question-Answering (QA) systems fall in the study area of Information Retrieval (IR) and Natural Language Processing (NLP). Given a set of documents, a QA system tries to obtain the correct answer to the questions posed in Natural Language (NL). Normally, the QA systems comprise three main components: question classification, information retrieval and answer extraction. Question classification plays a major role in QA systems since it classifies questions according to the type in their entities. The techniques of information retrieval are used to obtain and to extract relevant answers in the knowledge domain. Finally, the answer extraction component is an emerging topic in the QA systems. This module basically classifies and validates the candidate answers. In this paper we present an overview of the QA systems, focusing on mature work that is related to cooperative systems and that has got as knowledge domain the Semantic Web (SW). Moreover, we also present our proposal of a cooperative QA for the SW.2014-01-09T14:37:02Z2014-01-092013-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/9452http://hdl.handle.net/10174/9452pormelo_jiue_2013dmelo@iscac.ptipr@di.uevora.ptvbn@di.uevora.pt498Melo, DoraPimenta Rodrigues, IreneBeires Nogueira, Vitorinfo: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:RCAAP2024-01-03T18:50:35Zoai:dspace.uevora.pt:10174/9452Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:03:09.991191Repositório 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 A Review on Cooperative Question-Answering Systems
title A Review on Cooperative Question-Answering Systems
spellingShingle A Review on Cooperative Question-Answering Systems
Melo, Dora
Question-Answering Systems
Information Retrieval
Information Extraction
Natural Language Processing
title_short A Review on Cooperative Question-Answering Systems
title_full A Review on Cooperative Question-Answering Systems
title_fullStr A Review on Cooperative Question-Answering Systems
title_full_unstemmed A Review on Cooperative Question-Answering Systems
title_sort A Review on Cooperative Question-Answering Systems
author Melo, Dora
author_facet Melo, Dora
Pimenta Rodrigues, Irene
Beires Nogueira, Vitor
author_role author
author2 Pimenta Rodrigues, Irene
Beires Nogueira, Vitor
author2_role author
author
dc.contributor.author.fl_str_mv Melo, Dora
Pimenta Rodrigues, Irene
Beires Nogueira, Vitor
dc.subject.por.fl_str_mv Question-Answering Systems
Information Retrieval
Information Extraction
Natural Language Processing
topic Question-Answering Systems
Information Retrieval
Information Extraction
Natural Language Processing
description The Question-Answering (QA) systems fall in the study area of Information Retrieval (IR) and Natural Language Processing (NLP). Given a set of documents, a QA system tries to obtain the correct answer to the questions posed in Natural Language (NL). Normally, the QA systems comprise three main components: question classification, information retrieval and answer extraction. Question classification plays a major role in QA systems since it classifies questions according to the type in their entities. The techniques of information retrieval are used to obtain and to extract relevant answers in the knowledge domain. Finally, the answer extraction component is an emerging topic in the QA systems. This module basically classifies and validates the candidate answers. In this paper we present an overview of the QA systems, focusing on mature work that is related to cooperative systems and that has got as knowledge domain the Semantic Web (SW). Moreover, we also present our proposal of a cooperative QA for the SW.
publishDate 2013
dc.date.none.fl_str_mv 2013-02-01T00:00:00Z
2014-01-09T14:37:02Z
2014-01-09
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ipr@di.uevora.pt
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498
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