SuFLexQA: an approach to Question Answering from the lexicon

Autores
Cardellino, Cristian; Alonso i Alemany, Laura
Año de publicación
2013
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
We present SuFLexQA, a system for Question Answering that integrates deep linguistic information from verbal lexica into Quepy, a generic framework for translating natural language questions into a query language. We are participating in the QALD-3 contest to assess the main achievements and shortcomings of the system.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Natural Language Processing
Question-answering (fact retrieval) systems
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/76356

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spelling SuFLexQA: an approach to Question Answering from the lexiconCardellino, CristianAlonso i Alemany, LauraCiencias InformáticasNatural Language ProcessingQuestion-answering (fact retrieval) systemsWe present SuFLexQA, a system for Question Answering that integrates deep linguistic information from verbal lexica into Quepy, a generic framework for translating natural language questions into a query language. We are participating in the QALD-3 contest to assess the main achievements and shortcomings of the system.Sociedad Argentina de Informática e Investigación Operativa2013-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf193-197http://sedici.unlp.edu.ar/handle/10915/76356enginfo:eu-repo/semantics/altIdentifier/url/http://42jaiio.sadio.org.ar/proceedings/simposios/Trabajos/ASAI/17.pdfinfo:eu-repo/semantics/altIdentifier/issn/1850-2784info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-sa/4.0/Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:13:25Zoai:sedici.unlp.edu.ar:10915/76356Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:13:26.008SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv SuFLexQA: an approach to Question Answering from the lexicon
title SuFLexQA: an approach to Question Answering from the lexicon
spellingShingle SuFLexQA: an approach to Question Answering from the lexicon
Cardellino, Cristian
Ciencias Informáticas
Natural Language Processing
Question-answering (fact retrieval) systems
title_short SuFLexQA: an approach to Question Answering from the lexicon
title_full SuFLexQA: an approach to Question Answering from the lexicon
title_fullStr SuFLexQA: an approach to Question Answering from the lexicon
title_full_unstemmed SuFLexQA: an approach to Question Answering from the lexicon
title_sort SuFLexQA: an approach to Question Answering from the lexicon
dc.creator.none.fl_str_mv Cardellino, Cristian
Alonso i Alemany, Laura
author Cardellino, Cristian
author_facet Cardellino, Cristian
Alonso i Alemany, Laura
author_role author
author2 Alonso i Alemany, Laura
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Natural Language Processing
Question-answering (fact retrieval) systems
topic Ciencias Informáticas
Natural Language Processing
Question-answering (fact retrieval) systems
dc.description.none.fl_txt_mv We present SuFLexQA, a system for Question Answering that integrates deep linguistic information from verbal lexica into Quepy, a generic framework for translating natural language questions into a query language. We are participating in the QALD-3 contest to assess the main achievements and shortcomings of the system.
Sociedad Argentina de Informática e Investigación Operativa
description We present SuFLexQA, a system for Question Answering that integrates deep linguistic information from verbal lexica into Quepy, a generic framework for translating natural language questions into a query language. We are participating in the QALD-3 contest to assess the main achievements and shortcomings of the system.
publishDate 2013
dc.date.none.fl_str_mv 2013-09
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Objeto de conferencia
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url http://sedici.unlp.edu.ar/handle/10915/76356
dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/issn/1850-2784
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