dc.contributor.author | Duboué, Pablo Ariel | |
dc.contributor.author | Domínguez, Martín Ariel | |
dc.date.accessioned | 2023-07-25T20:12:18Z | |
dc.date.available | 2023-07-25T20:12:18Z | |
dc.date.issued | 2016 | |
dc.identifier.uri | http://hdl.handle.net/11086/548254 | |
dc.description | Slides de ponencia presentada en Advances in Artificial Intelligence - IBERAMIA 2016. San José, Costa Rica 23-25, November 2016. | es |
dc.description.abstract | 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. | en |
dc.description.uri | http://link.springer.com/chapter/10.1007/978-3-319-47955-2_14 | |
dc.format.medium | Impreso; Electrónico y/o Digital | |
dc.language.iso | eng | es |
dc.relation | Del artículo publicado: https://doi.org/10.1007/978-3-319-47955-2_14 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Semantc order | en |
dc.subject | Referring expression | en |
dc.subject | Robustness | en |
dc.title | Using robustness to learn to order semantic properties in referring expression generation | en |
dc.type | conferenceObject | es |
dc.description.version | submittedVersion | |
dc.description.fil | Fil: Duboué, Pablo Ariel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina. | es |
dc.description.fil | Fil: Domínguez, Martín Ariel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina. | es |
dc.description.field | Ciencias de la Computación | |
dc.conference.event | IBERAMIA 2016 | |
dc.conference.eventcity | San José | |
dc.conference.eventcountry | Costa Rica | |
dc.conference.eventdate | 2016-11 | |
dc.conference.institution | Sociedad Iberoamericana de Inteligencia Artificial (IBERAMIA) | |
dc.conference.journal | Advances in Artificial Intelligence - IBERAMIA 2016 | |
dc.conference.publication | Revista | |
dc.conference.work | Slides de la ponencia | |
dc.conference.type | Conferencia | |