Combining Wikipedia and WordNet for improving domain terms compilation

Domain terms are a useful mean for tuning both resources and NLP processors to domain specific tasks. This paper proposes an improved method for obtaining terms from potentially any domain using the Wikipedia graph structure as a knowledge source and the result of enriching WordNet with extended Wor...

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Detalles Bibliográficos
Autores: Vivaldi, Jorge, Rodríguez Hontoria, Horacio|||0000-0002-5314-6631, Rigau Claramunt, German
Tipo de recurso: informe técnico
Fecha de publicación:2013
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/99426
Acceso en línea:https://hdl.handle.net/2117/99426
Access Level:acceso abierto
Palabra clave:Term extraction
Domain terminology
Wikipedia
Wordnet
Wordnet domains
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural
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spelling Combining Wikipedia and WordNet for improving domain terms compilationVivaldi, JorgeRodríguez Hontoria, Horacio|||0000-0002-5314-6631Rigau Claramunt, GermanTerm extractionDomain terminologyWikipediaWordnetWordnet domainsÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge naturalDomain terms are a useful mean for tuning both resources and NLP processors to domain specific tasks. This paper proposes an improved method for obtaining terms from potentially any domain using the Wikipedia graph structure as a knowledge source and the result of enriching WordNet with extended WordNet domains.20132013-01-0120172017-01-17reporthttp://purl.org/coar/resource_type/c_93fcVoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/reportapplication/pdfhttps://hdl.handle.net/2117/99426reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/994262026-05-27T15:37:01Z
dc.title.none.fl_str_mv Combining Wikipedia and WordNet for improving domain terms compilation
title Combining Wikipedia and WordNet for improving domain terms compilation
spellingShingle Combining Wikipedia and WordNet for improving domain terms compilation
Vivaldi, Jorge
Term extraction
Domain terminology
Wikipedia
Wordnet
Wordnet domains
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural
title_short Combining Wikipedia and WordNet for improving domain terms compilation
title_full Combining Wikipedia and WordNet for improving domain terms compilation
title_fullStr Combining Wikipedia and WordNet for improving domain terms compilation
title_full_unstemmed Combining Wikipedia and WordNet for improving domain terms compilation
title_sort Combining Wikipedia and WordNet for improving domain terms compilation
dc.creator.none.fl_str_mv Vivaldi, Jorge
Rodríguez Hontoria, Horacio|||0000-0002-5314-6631
Rigau Claramunt, German
author Vivaldi, Jorge
author_facet Vivaldi, Jorge
Rodríguez Hontoria, Horacio|||0000-0002-5314-6631
Rigau Claramunt, German
author_role author
author2 Rodríguez Hontoria, Horacio|||0000-0002-5314-6631
Rigau Claramunt, German
author2_role author
author
dc.subject.none.fl_str_mv Term extraction
Domain terminology
Wikipedia
Wordnet
Wordnet domains
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural
topic Term extraction
Domain terminology
Wikipedia
Wordnet
Wordnet domains
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural
description Domain terms are a useful mean for tuning both resources and NLP processors to domain specific tasks. This paper proposes an improved method for obtaining terms from potentially any domain using the Wikipedia graph structure as a knowledge source and the result of enriching WordNet with extended WordNet domains.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013-01-01
2017
2017-01-17
dc.type.none.fl_str_mv report
http://purl.org/coar/resource_type/c_93fc
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/report
format report
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/99426
url https://hdl.handle.net/2117/99426
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869424718285635584
score 15.300719

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