Publicación: Temporally anchored relation extraction
dc.contributor.author | Garrido, Guillermo | |
dc.contributor.author | Cabaleiro, Bernardo | |
dc.contributor.author | Peñas Padilla, Anselmo | |
dc.contributor.author | Rodrigo Yuste, Álvaro | |
dc.date.accessioned | 2024-05-21T13:03:31Z | |
dc.date.available | 2024-05-21T13:03:31Z | |
dc.date.issued | 2012-12-08 | |
dc.description.abstract | 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. | es |
dc.description.version | versión publicada | |
dc.identifier.uri | https://hdl.handle.net/20.500.14468/19985 | |
dc.language.iso | en | |
dc.relation.center | E.T.S. de Ingeniería Informática | |
dc.relation.department | Lenguajes y Sistemas Informáticos | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0 | |
dc.title | Temporally anchored relation extraction | es |
dc.type | conference proceedings | en |
dc.type | actas de congreso | es |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | 1e1b14bc-1284-4aef-908c-bccf31bd055e | |
relation.isAuthorOfPublication | 90ababf8-3bd1-44b2-9d12-368f2c6568ac | |
relation.isAuthorOfPublication.latestForDiscovery | 1e1b14bc-1284-4aef-908c-bccf31bd055e |
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