Spanish automatic text enrichment

Autores
Felice, Mariano; Bordignon, Fernando Raúl Alfredo; Tolosa, Gabriel Hernán
Año de publicación
2009
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Unlike text on paper, hypertext enables the linking of pieces of text with other texts and multimedia resources, which not only improves the waywe read but also lays the foundation for new information systems. Specifically, the proliferation of collaborative sites, blogs, online databases, encyclopedias and many other services on the World Wide Web provides an invaluable source of up-to-date information which can be used to aid reading comprehension. As a result, an approach to the automatic extraction, merging and integration of online information is proposed for the purpose of “enriching” texts. This unprecedented text enrichment process allows users to transform ordinary plain texts into self-explanatory hypertexts containing contextual information and resources selected automatically from the Web. Application of such an enrichment process could help students in their scholarly reading, provide users with related multimedia resources and avoid multiple searches for concepts and entities mentioned in a text, among other purposes
VI Workshop Ingeniería de Software (WIS)
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Hypertext navigation and maps
Text processing
automatic text enrichment
named entity recognition
entities
NER
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/21002
Acceder
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network_name_str SEDICI (UNLP)
spelling Spanish automatic text enrichmentFelice, MarianoBordignon, Fernando Raúl AlfredoTolosa, Gabriel HernánCiencias InformáticasHypertext navigation and mapsText processingautomatic text enrichmentnamed entity recognitionentitiesNERUnlike text on paper, hypertext enables the linking of pieces of text with other texts and multimedia resources, which not only improves the waywe read but also lays the foundation for new information systems. Specifically, the proliferation of collaborative sites, blogs, online databases, encyclopedias and many other services on the World Wide Web provides an invaluable source of up-to-date information which can be used to aid reading comprehension. As a result, an approach to the automatic extraction, merging and integration of online information is proposed for the purpose of “enriching” texts. This unprecedented text enrichment process allows users to transform ordinary plain texts into self-explanatory hypertexts containing contextual information and resources selected automatically from the Web. Application of such an enrichment process could help students in their scholarly reading, provide users with related multimedia resources and avoid multiple searches for concepts and entities mentioned in a text, among other purposesVI Workshop Ingeniería de Software (WIS)Red de Universidades con Carreras en Informática (RedUNCI)2009-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf673-683http://sedici.unlp.edu.ar/handle/10915/21002enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T10:47:05Zoai:sedici.unlp.edu.ar:10915/21002Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:47:05.94SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Spanish automatic text enrichment
title Spanish automatic text enrichment
spellingShingle Spanish automatic text enrichment
Felice, Mariano
Ciencias Informáticas
Hypertext navigation and maps
Text processing
automatic text enrichment
named entity recognition
entities
NER
title_short Spanish automatic text enrichment
title_full Spanish automatic text enrichment
title_fullStr Spanish automatic text enrichment
title_full_unstemmed Spanish automatic text enrichment
title_sort Spanish automatic text enrichment
dc.creator.none.fl_str_mv Felice, Mariano
Bordignon, Fernando Raúl Alfredo
Tolosa, Gabriel Hernán
author Felice, Mariano
author_facet Felice, Mariano
Bordignon, Fernando Raúl Alfredo
Tolosa, Gabriel Hernán
author_role author
author2 Bordignon, Fernando Raúl Alfredo
Tolosa, Gabriel Hernán
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Hypertext navigation and maps
Text processing
automatic text enrichment
named entity recognition
entities
NER
topic Ciencias Informáticas
Hypertext navigation and maps
Text processing
automatic text enrichment
named entity recognition
entities
NER
dc.description.none.fl_txt_mv Unlike text on paper, hypertext enables the linking of pieces of text with other texts and multimedia resources, which not only improves the waywe read but also lays the foundation for new information systems. Specifically, the proliferation of collaborative sites, blogs, online databases, encyclopedias and many other services on the World Wide Web provides an invaluable source of up-to-date information which can be used to aid reading comprehension. As a result, an approach to the automatic extraction, merging and integration of online information is proposed for the purpose of “enriching” texts. This unprecedented text enrichment process allows users to transform ordinary plain texts into self-explanatory hypertexts containing contextual information and resources selected automatically from the Web. Application of such an enrichment process could help students in their scholarly reading, provide users with related multimedia resources and avoid multiple searches for concepts and entities mentioned in a text, among other purposes
VI Workshop Ingeniería de Software (WIS)
Red de Universidades con Carreras en Informática (RedUNCI)
description Unlike text on paper, hypertext enables the linking of pieces of text with other texts and multimedia resources, which not only improves the waywe read but also lays the foundation for new information systems. Specifically, the proliferation of collaborative sites, blogs, online databases, encyclopedias and many other services on the World Wide Web provides an invaluable source of up-to-date information which can be used to aid reading comprehension. As a result, an approach to the automatic extraction, merging and integration of online information is proposed for the purpose of “enriching” texts. This unprecedented text enrichment process allows users to transform ordinary plain texts into self-explanatory hypertexts containing contextual information and resources selected automatically from the Web. Application of such an enrichment process could help students in their scholarly reading, provide users with related multimedia resources and avoid multiple searches for concepts and entities mentioned in a text, among other purposes
publishDate 2009
dc.date.none.fl_str_mv 2009-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
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status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/21002
url http://sedici.unlp.edu.ar/handle/10915/21002
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
673-683
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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