On the robustness of standalone referring expression generation algorithms using RDF data

Ponencia presentada en el 2nd International Workshop on Natural Language Generation and the Semantic Web. Edimburgo, Escocia, 6 de septiembre de 2016.

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Detalles Bibliográficos
Autores principales:	Duboué, Pablo Ariel, Domínguez, Martín Ariel, Estrella, Paula Susana
Otros Autores:	https://orcid.org/0000-0002-1815-0117
Formato:	acceptedVersion conferenceObject
Lenguaje:	Inglés
Publicado:	2023
Materias:	Referring expressions Resource Description Framework RDF data Natural language generation
Acceso en línea:	https://aclanthology.org/W16-3504/ http://hdl.handle.net/11086/547792
Aporte de:	Repositorio Digital Universitario (UNC) de Universidad Nacional de Córdoba

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spelling	I10-R141-11086-5477922023-08-31T13:16:33Z On the robustness of standalone referring expression generation algorithms using RDF data Duboué, Pablo Ariel Domínguez, Martín Ariel Estrella, Paula Susana https://orcid.org/0000-0002-1815-0117 Referring expressions Resource Description Framework RDF data Natural language generation Ponencia presentada en el 2nd International Workshop on Natural Language Generation and the Semantic Web. Edimburgo, Escocia, 6 de septiembre de 2016. acceptedVersion Fil: Duboué, Pablo Ariel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina. Fil: Domínguez, Martín Ariel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina. Fil: Estrella, Paula Susana. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina. A sub-task of Natural Language Generation (NLG) is the generation of referring expressions (REG). REG algorithms are expected to select attributes that unambiguously identify an entity with respect to a set of distractors. In previous work we have defined a methodology to evaluate REG algorithms using real life examples. In the present work, we evaluate REG algorithms using a dataset that contains alterations in the properties of referring entities. We found that naturally occurring ontological re-engineering can have a devastating impact in the performance of REG algorithms, with some more robust in the presence of these changes than others. The ultimate goal of this work is observing the behavior and estimating the performance of a series of REG algorithms as the entities in the data set evolve over time. http://www.aclweb.org/anthology/W16-3500 acceptedVersion Fil: Duboué, Pablo Ariel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina. Fil: Domínguez, Martín Ariel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina. Fil: Estrella, Paula Susana. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina. Otras Ciencias de la Computación e Información 2023-06-15T13:22:26Z 2023-06-15T13:22:26Z 2016 conferenceObject https://aclanthology.org/W16-3504/ http://hdl.handle.net/11086/547792 eng Atribución-NoComercial-SinDerivadas 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/deed.es Electrónico y/o Digital
institution	Universidad Nacional de Córdoba
institution_str	I-10
repository_str	R-141
collection	Repositorio Digital Universitario (UNC)
language	Inglés
topic	Referring expressions Resource Description Framework RDF data Natural language generation
spellingShingle	Referring expressions Resource Description Framework RDF data Natural language generation Duboué, Pablo Ariel Domínguez, Martín Ariel Estrella, Paula Susana On the robustness of standalone referring expression generation algorithms using RDF data
topic_facet	Referring expressions Resource Description Framework RDF data Natural language generation
description	Ponencia presentada en el 2nd International Workshop on Natural Language Generation and the Semantic Web. Edimburgo, Escocia, 6 de septiembre de 2016.
author2	https://orcid.org/0000-0002-1815-0117
author_facet	https://orcid.org/0000-0002-1815-0117 Duboué, Pablo Ariel Domínguez, Martín Ariel Estrella, Paula Susana
format	acceptedVersion conferenceObject
author	Duboué, Pablo Ariel Domínguez, Martín Ariel Estrella, Paula Susana
author_sort	Duboué, Pablo Ariel
title	On the robustness of standalone referring expression generation algorithms using RDF data
title_short	On the robustness of standalone referring expression generation algorithms using RDF data
title_full	On the robustness of standalone referring expression generation algorithms using RDF data
title_fullStr	On the robustness of standalone referring expression generation algorithms using RDF data
title_full_unstemmed	On the robustness of standalone referring expression generation algorithms using RDF data
title_sort	on the robustness of standalone referring expression generation algorithms using rdf data
publishDate	2023
url	https://aclanthology.org/W16-3504/ http://hdl.handle.net/11086/547792
work_keys_str_mv	AT dubouepabloariel ontherobustnessofstandalonereferringexpressiongenerationalgorithmsusingrdfdata AT dominguezmartinariel ontherobustnessofstandalonereferringexpressiongenerationalgorithmsusingrdfdata AT estrellapaulasusana ontherobustnessofstandalonereferringexpressiongenerationalgorithmsusingrdfdata
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On the robustness of standalone referring expression generation algorithms using RDF data

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