DI@UE in CLEF2012: question answering approach to the multiple choice QA4MRE challenge
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/5406 |
Resumo: | In the 2012 edition of CLEF, the DI@UE team has signed up for Question Answering for Machine Reading Evaluation (QA4MRE) main task. For each question, our system tries to guess which of the five hypotheses is the more plausible response, taking into account the reading test content and the documents from the background collection on the question topic. For each question, the system applies Named Entity Recognition, Question Classification, Document and Passage Retrieval. The criteria used in the first run is to choose the answer with the smallest distance between question and answer key elements. The system applies a specific treatment for certain factual questions, with the categories Quantity, When, Where, What, and Who, whose responses are usually short and likely to be detected in the text. For the second run, the system tries to solve each question according to its category. Textual patterns used for answer validation and Web answer projection are defined according to the question category. The system answered to all 160 questions, having found 50 right candidate answers. |
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DI@UE in CLEF2012: question answering approach to the multiple choice QA4MRE challengeQANLPIn the 2012 edition of CLEF, the DI@UE team has signed up for Question Answering for Machine Reading Evaluation (QA4MRE) main task. For each question, our system tries to guess which of the five hypotheses is the more plausible response, taking into account the reading test content and the documents from the background collection on the question topic. For each question, the system applies Named Entity Recognition, Question Classification, Document and Passage Retrieval. The criteria used in the first run is to choose the answer with the smallest distance between question and answer key elements. The system applies a specific treatment for certain factual questions, with the categories Quantity, When, Where, What, and Who, whose responses are usually short and likely to be detected in the text. For the second run, the system tries to solve each question according to its category. Textual patterns used for answer validation and Web answer projection are defined according to the question category. The system answered to all 160 questions, having found 50 right candidate answers.clef2012.org2012-11-08T18:02:43Z2012-11-082012-09-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/5406http://hdl.handle.net/10174/5406engJosé Saias and Paulo Quaresma, "DI@UE in clef2012: question answering approach to the multiple choice qa4mre challenge", In Proceedings of CLEF 2012 Evaluation Labs and Workshop - Working Notes Papers, Rome, Italy, September 2012. ISBN 978-88-904810-3-1.978-88-904810-3-1http://www.clef-initiative.eu/documents/71612/7c21ae6d-c6e7-481e-9039-523e3b39a9d7jsaias@uevora.ptpq@di.uevora.pt283Saias, JoséQuaresma, Pauloinfo: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:RCAAP2024-01-03T18:44:03Zoai:dspace.uevora.pt:10174/5406Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:00:22.348524Repositório 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 |
DI@UE in CLEF2012: question answering approach to the multiple choice QA4MRE challenge |
title |
DI@UE in CLEF2012: question answering approach to the multiple choice QA4MRE challenge |
spellingShingle |
DI@UE in CLEF2012: question answering approach to the multiple choice QA4MRE challenge Saias, José QA NLP |
title_short |
DI@UE in CLEF2012: question answering approach to the multiple choice QA4MRE challenge |
title_full |
DI@UE in CLEF2012: question answering approach to the multiple choice QA4MRE challenge |
title_fullStr |
DI@UE in CLEF2012: question answering approach to the multiple choice QA4MRE challenge |
title_full_unstemmed |
DI@UE in CLEF2012: question answering approach to the multiple choice QA4MRE challenge |
title_sort |
DI@UE in CLEF2012: question answering approach to the multiple choice QA4MRE challenge |
author |
Saias, José |
author_facet |
Saias, José Quaresma, Paulo |
author_role |
author |
author2 |
Quaresma, Paulo |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Saias, José Quaresma, Paulo |
dc.subject.por.fl_str_mv |
QA NLP |
topic |
QA NLP |
description |
In the 2012 edition of CLEF, the DI@UE team has signed up for Question Answering for Machine Reading Evaluation (QA4MRE) main task. For each question, our system tries to guess which of the five hypotheses is the more plausible response, taking into account the reading test content and the documents from the background collection on the question topic. For each question, the system applies Named Entity Recognition, Question Classification, Document and Passage Retrieval. The criteria used in the first run is to choose the answer with the smallest distance between question and answer key elements. The system applies a specific treatment for certain factual questions, with the categories Quantity, When, Where, What, and Who, whose responses are usually short and likely to be detected in the text. For the second run, the system tries to solve each question according to its category. Textual patterns used for answer validation and Web answer projection are defined according to the question category. The system answered to all 160 questions, having found 50 right candidate answers. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-11-08T18:02:43Z 2012-11-08 2012-09-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/5406 http://hdl.handle.net/10174/5406 |
url |
http://hdl.handle.net/10174/5406 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
José Saias and Paulo Quaresma, "DI@UE in clef2012: question answering approach to the multiple choice qa4mre challenge", In Proceedings of CLEF 2012 Evaluation Labs and Workshop - Working Notes Papers, Rome, Italy, September 2012. ISBN 978-88-904810-3-1. 978-88-904810-3-1 http://www.clef-initiative.eu/documents/71612/7c21ae6d-c6e7-481e-9039-523e3b39a9d7 jsaias@uevora.pt pq@di.uevora.pt 283 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
clef2012.org |
publisher.none.fl_str_mv |
clef2012.org |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799136486078021633 |