Exploiting Machine Learning Techniques to Build an Event Extraction System for Portuguese and Spanish

Detalhes bibliográficos
Autor(a) principal: Tanev, Hristo
Data de Publicação: 2009
Outros Autores: Zavarella, Vanni, Linge, Jens, Kabadjov, Mijail, Piskorski, Jakub, Atkinson, Martin, Steinberger, Ralf
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://linguamatica.com/index.php/linguamatica/article/view/37
Resumo: We describe a multilingual methodology for adapting an event extraction system to new languages. The methodology is based on highly multilingual domain-specific grammars and exploits weakly supervised machine learning algorithms for lexical acquisition. We adapted an already existing event  extraction system for the domain of conflicts and crises to Portuguese and Spanish languages. The results are encouraging and demonstrate the effectiveness of our approach.
id RCAP_4f6ec3cfae2365c721949c5886cd57d6
oai_identifier_str oai:linguamatica.com:article/37
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Exploiting Machine Learning Techniques to Build an Event Extraction System for Portuguese and Spanishevent extractionextracción de eventosextração de eventosWe describe a multilingual methodology for adapting an event extraction system to new languages. The methodology is based on highly multilingual domain-specific grammars and exploits weakly supervised machine learning algorithms for lexical acquisition. We adapted an already existing event  extraction system for the domain of conflicts and crises to Portuguese and Spanish languages. The results are encouraging and demonstrate the effectiveness of our approach.Universidade do Minho e Universidade de Vigo2009-11-28info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://linguamatica.com/index.php/linguamatica/article/view/37Linguamática; Vol. 1 No. 2; 55-66Linguamática; Vol. 1 Núm. 2; 55-66Linguamática; v. 1 n. 2; 55-661647-0818reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttps://linguamatica.com/index.php/linguamatica/article/view/37https://linguamatica.com/index.php/linguamatica/article/view/37/35Tanev, HristoZavarella, VanniLinge, JensKabadjov, MijailPiskorski, JakubAtkinson, MartinSteinberger, Ralfinfo:eu-repo/semantics/openAccess2023-09-08T13:46:13Zoai:linguamatica.com:article/37Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:28:33.019997Repositório 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 Exploiting Machine Learning Techniques to Build an Event Extraction System for Portuguese and Spanish
title Exploiting Machine Learning Techniques to Build an Event Extraction System for Portuguese and Spanish
spellingShingle Exploiting Machine Learning Techniques to Build an Event Extraction System for Portuguese and Spanish
Tanev, Hristo
event extraction
extracción de eventos
extração de eventos
title_short Exploiting Machine Learning Techniques to Build an Event Extraction System for Portuguese and Spanish
title_full Exploiting Machine Learning Techniques to Build an Event Extraction System for Portuguese and Spanish
title_fullStr Exploiting Machine Learning Techniques to Build an Event Extraction System for Portuguese and Spanish
title_full_unstemmed Exploiting Machine Learning Techniques to Build an Event Extraction System for Portuguese and Spanish
title_sort Exploiting Machine Learning Techniques to Build an Event Extraction System for Portuguese and Spanish
author Tanev, Hristo
author_facet Tanev, Hristo
Zavarella, Vanni
Linge, Jens
Kabadjov, Mijail
Piskorski, Jakub
Atkinson, Martin
Steinberger, Ralf
author_role author
author2 Zavarella, Vanni
Linge, Jens
Kabadjov, Mijail
Piskorski, Jakub
Atkinson, Martin
Steinberger, Ralf
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Tanev, Hristo
Zavarella, Vanni
Linge, Jens
Kabadjov, Mijail
Piskorski, Jakub
Atkinson, Martin
Steinberger, Ralf
dc.subject.por.fl_str_mv event extraction
extracción de eventos
extração de eventos
topic event extraction
extracción de eventos
extração de eventos
description We describe a multilingual methodology for adapting an event extraction system to new languages. The methodology is based on highly multilingual domain-specific grammars and exploits weakly supervised machine learning algorithms for lexical acquisition. We adapted an already existing event  extraction system for the domain of conflicts and crises to Portuguese and Spanish languages. The results are encouraging and demonstrate the effectiveness of our approach.
publishDate 2009
dc.date.none.fl_str_mv 2009-11-28
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 https://linguamatica.com/index.php/linguamatica/article/view/37
url https://linguamatica.com/index.php/linguamatica/article/view/37
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://linguamatica.com/index.php/linguamatica/article/view/37
https://linguamatica.com/index.php/linguamatica/article/view/37/35
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 Universidade do Minho e Universidade de Vigo
publisher.none.fl_str_mv Universidade do Minho e Universidade de Vigo
dc.source.none.fl_str_mv Linguamática; Vol. 1 No. 2; 55-66
Linguamática; Vol. 1 Núm. 2; 55-66
Linguamática; v. 1 n. 2; 55-66
1647-0818
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
repository.mail.fl_str_mv
_version_ 1799133553111334912

Registros relacionados