Temporally anchored relation extraction

Garrido, Guillermo, Peñas, Anselmo, Cabaleiro, Bernardo y Rodrigo, Álvaro(2012) .Temporally anchored relation extraction. .En: . ()

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Titulo Temporally anchored relation extraction
Autor(es) Garrido, Guillermo
Peñas, Anselmo
Cabaleiro, Bernardo
Rodrigo, Álvaro
Materia(s) Informática
Resumen Although much work on relation extraction has aimed at obtaining static facts, many of the target relations are actually fluents, as their validity is naturally anchored to a certain time period. This paper proposes a methodological approach to temporally anchored relation extraction. Our proposal performs distant supervised learning to extract a set of relations from a natural language corpus, and anchors each of them to an interval of temporal validity, aggregating evidence from documents supporting the relation. We use a rich graphbased document-level representation to generate novel features for this task. Results show that our implementation for temporal anchoring is able to achieve a 69% of the upper bound performance imposed by the relation extraction step. Compared to the state of the art, the overall system achieves the highest precision reported.
Fecha 2012-12-08
Formato application/pdf
Identificador http://e-spacio.uned.es/fez/view/bibliuned:DptoLSI-ETSI-MA2VICMR-1020
bibliuned:DptoLSI-ETSI-MA2VICMR-1020
Idioma eng
Fuente Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, pages 107–116,Jeju, Republic of Korea, 8-14 July 2012
Versión de la publicación publishedVersion
Relacionado con el proyecto: info:eu-repo/grantAgreement/S2009/TIC-1542
Nivel de acceso y licencia http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
Tipo de recurso lecture
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Creado: Tue, 18 Nov 2014, 14:19:27 CET