Using robustness to learn to order semantic properties in referring expression generation
Slides de ponencia presentada en Advances in Artificial Intelligence - IBERAMIA 2016. San José, Costa Rica 23-25, November 2016.
| Main Authors: | , |
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| Format: | submittedVersion |
| Language: | eng |
| Published: |
2023
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| Online Access: | http://hdl.handle.net/11086/548254 |
| _version_ | 1801215234703097856 |
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| author | Duboué, Pablo Ariel Domínguez, Martín Ariel |
| author_facet | Duboué, Pablo Ariel Domínguez, Martín Ariel |
| author_sort | Duboué, Pablo Ariel |
| collection | Repositorio Digital Universitario |
| description | Slides de ponencia presentada en Advances in Artificial Intelligence - IBERAMIA 2016. San José, Costa Rica 23-25, November 2016. |
| format | submittedVersion |
| id | rdu-unc.548254 |
| institution | Universidad Nacional de Cordoba |
| language | eng |
| publishDate | 2023 |
| record_format | dspace |
| spelling | rdu-unc.5482542023-08-31T13:16:33Z Using robustness to learn to order semantic properties in referring expression generation Duboué, Pablo Ariel Domínguez, Martín Ariel Semantc order Referring expression Robustness Slides de ponencia presentada en Advances in Artificial Intelligence - IBERAMIA 2016. San José, Costa Rica 23-25, November 2016. submittedVersion 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. A sub-task of Natural Language Generation (NLG) is the generation of referring expressions (REG). REG algorithms aim to select attributes that unambiguously identify an entity with respect to a set of distractors. Previous work has defined a methodology to evaluate REG algorithms using real life examples with naturally occurring alterations in the properties of referring entities. It has been found that REG algorithms have key parameters tuned to exhibit a large degree of robustness. Using this insight, we present here experiments for learning the order of semantic properties used by a high performing REG algorithm. Presenting experiments on two types of entities (people and organizations) and using different versions of DBpedia (a freely available knowledge base containing information extracted from Wikipedia pages) we found that robustness of the tuned algorithm and its parameters do coincide but more work is needed to learn these parameters from data in a generalizable fashion. http://link.springer.com/chapter/10.1007/978-3-319-47955-2_14 submittedVersion 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. Ciencias de la Computación 2023-07-25T20:12:18Z 2023-07-25T20:12:18Z 2016 conferenceObject http://hdl.handle.net/11086/548254 eng Del artículo publicado: https://doi.org/10.1007/978-3-319-47955-2_14 Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Impreso; Electrónico y/o Digital |
| spellingShingle | Semantc order Referring expression Robustness Duboué, Pablo Ariel Domínguez, Martín Ariel Using robustness to learn to order semantic properties in referring expression generation |
| title | Using robustness to learn to order semantic properties in referring expression generation |
| title_full | Using robustness to learn to order semantic properties in referring expression generation |
| title_fullStr | Using robustness to learn to order semantic properties in referring expression generation |
| title_full_unstemmed | Using robustness to learn to order semantic properties in referring expression generation |
| title_short | Using robustness to learn to order semantic properties in referring expression generation |
| title_sort | using robustness to learn to order semantic properties in referring expression generation |
| topic | Semantc order Referring expression Robustness |
| url | http://hdl.handle.net/11086/548254 |
| work_keys_str_mv | AT dubouepabloariel usingrobustnesstolearntoordersemanticpropertiesinreferringexpressiongeneration AT dominguezmartinariel usingrobustnesstolearntoordersemanticpropertiesinreferringexpressiongeneration |