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.
| Main Authors: | , , |
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| Other Authors: | |
| Format: | acceptedVersion |
| Language: | eng |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://aclanthology.org/W16-3504/ http://hdl.handle.net/11086/547792 |
| _version_ | 1801214985384230912 |
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| author | Duboué, Pablo Ariel Domínguez, Martín Ariel Estrella, Paula Susana |
| 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 |
| author_sort | Duboué, Pablo Ariel |
| collection | Repositorio Digital Universitario |
| description | Ponencia presentada en el 2nd International Workshop on Natural Language Generation and the Semantic Web. Edimburgo, Escocia, 6 de septiembre de 2016. |
| format | acceptedVersion |
| id | rdu-unc.547792 |
| institution | Universidad Nacional de Cordoba |
| language | eng |
| publishDate | 2023 |
| record_format | dspace |
| spelling | rdu-unc.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 |
| 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 |
| title | 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_short | 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 |
| topic | Referring expressions Resource Description Framework RDF data Natural language generation |
| url | https://aclanthology.org/W16-3504/ http://hdl.handle.net/11086/547792 |
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