Improving Personalized Consumer Health Search

Detalhes bibliográficos
Autor(a) principal: Yang, Hua
Data de Publicação: 2018
Outros Autores: Gonçalves, Teresa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/24987
Resumo: CLEF 2018 eHealth Consumer Health Search task aims to investigate the effectiveness of the information retrieval systems in providing health information to common health consumers. Compared to previous years, this year’s task includes five subtasks and adopts new data corpus and set of queries. This paper presents the work of University of Evora participating in two subtasks: IRtask-1 and IRtask-2. It explores the use of learning to rank techniques as well as query expan- sion approaches. A number of field based features are used for training a learning to rank model and a medical concept model proposed in previous work is re-employed for this year’s new task. Word vectors and UMLS are used as query expansion sources. Four runs were submitted to each task accordingly.
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spelling Improving Personalized Consumer Health Searchhealth information searchlearning to rankquery expansionUMLSword vectorsCLEF 2018 eHealth Consumer Health Search task aims to investigate the effectiveness of the information retrieval systems in providing health information to common health consumers. Compared to previous years, this year’s task includes five subtasks and adopts new data corpus and set of queries. This paper presents the work of University of Evora participating in two subtasks: IRtask-1 and IRtask-2. It explores the use of learning to rank techniques as well as query expan- sion approaches. A number of field based features are used for training a learning to rank model and a medical concept model proposed in previous work is re-employed for this year’s new task. Word vectors and UMLS are used as query expansion sources. Four runs were submitted to each task accordingly.CEUR2019-02-26T17:26:36Z2019-02-262018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/24987http://hdl.handle.net/10174/24987engHua Yang and Teresa Gonçalves. Improving personalized consumer health search: Note- book for ehealth at clef 2018. In Linda Cappellato, Nicola Ferro, Jian-Yun Nie, and Laure Soulier, editors, Working Notes of CLEF 2018 - Conference and Labs of the Evaluation Forum, Avignon, France, September 10-14, 2018.ndnd498Yang, HuaGonçalves, Teresainfo: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:RCAAP2024-01-03T19:18:24Zoai:dspace.uevora.pt:10174/24987Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:15:30.166138Repositório 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 Improving Personalized Consumer Health Search
title Improving Personalized Consumer Health Search
spellingShingle Improving Personalized Consumer Health Search
Yang, Hua
health information search
learning to rank
query expansion
UMLS
word vectors
title_short Improving Personalized Consumer Health Search
title_full Improving Personalized Consumer Health Search
title_fullStr Improving Personalized Consumer Health Search
title_full_unstemmed Improving Personalized Consumer Health Search
title_sort Improving Personalized Consumer Health Search
author Yang, Hua
author_facet Yang, Hua
Gonçalves, Teresa
author_role author
author2 Gonçalves, Teresa
author2_role author
dc.contributor.author.fl_str_mv Yang, Hua
Gonçalves, Teresa
dc.subject.por.fl_str_mv health information search
learning to rank
query expansion
UMLS
word vectors
topic health information search
learning to rank
query expansion
UMLS
word vectors
description CLEF 2018 eHealth Consumer Health Search task aims to investigate the effectiveness of the information retrieval systems in providing health information to common health consumers. Compared to previous years, this year’s task includes five subtasks and adopts new data corpus and set of queries. This paper presents the work of University of Evora participating in two subtasks: IRtask-1 and IRtask-2. It explores the use of learning to rank techniques as well as query expan- sion approaches. A number of field based features are used for training a learning to rank model and a medical concept model proposed in previous work is re-employed for this year’s new task. Word vectors and UMLS are used as query expansion sources. Four runs were submitted to each task accordingly.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-01T00:00:00Z
2019-02-26T17:26:36Z
2019-02-26
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/10174/24987
http://hdl.handle.net/10174/24987
url http://hdl.handle.net/10174/24987
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Hua Yang and Teresa Gonçalves. Improving personalized consumer health search: Note- book for ehealth at clef 2018. In Linda Cappellato, Nicola Ferro, Jian-Yun Nie, and Laure Soulier, editors, Working Notes of CLEF 2018 - Conference and Labs of the Evaluation Forum, Avignon, France, September 10-14, 2018.
nd
nd
498
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv CEUR
publisher.none.fl_str_mv CEUR
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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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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