Extending WordNet with fine-grained collocational information via supervised distributional learning
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- dc.contributor.author Espinosa-Anke, Luisca
- dc.contributor.author Camacho-Collados, Joseca
- dc.contributor.author Rodríguez Fernández, Saraca
- dc.contributor.author Saggion, Horacioca
- dc.contributor.author Wanner, Leoca
- dc.date.accessioned 2017-02-07T17:31:10Z
- dc.date.available 2017-02-07T17:31:10Z
- dc.date.issued 2016ca
- dc.description Comunicació presentada a COLING 2016: the 26th International Conference on Computational Linguistics; 2016 Dec. 11-16; Osaka (Japan)
- dc.description.abstract WordNet is probably the best known lexical resource in Natural Language Processing. While it/nis widely regarded as a high quality repository of concepts and semantic relations, updating and/nextending it manually is costly. One important type of relation which could potentially add enormous/nvalue toWordNet is the inclusion of collocational information, which is paramount in tasks/nsuch as Machine Translation, Natural Language Generation and Second Language Learning. In/nthis paper, we present ColWordNet (CWN), an extended WordNet version with fine-grained collocational/ninformation, automatically introduced thanks to a method exploiting linear relations/nbetween analogous sense-level embeddings spaces. We perform both intrinsic and extrinsic evaluations,/nand release CWN for the use and scrutiny of the community.en
- dc.description.sponsorship This work was partially funded by the following projects: MULTISENSOR (FP7-ICT-610411),/nKRISTINA (H2020-645012-RIA), HARENES (FFI201130219-CO2-02), through a predoctoral grant/n(BES-2012-057036), the Mar´ıa de Maeztu Units of Excellence Program (MDM-2015-0502) and TUNER/n(TIN2015-65308-C5-5-R, MINECO/FEDER, UE). Jose Camacho-Collados is supported by a Google/nDoctoral Fellowship in Natural Language Processing.
- dc.format.mimetype application/pdfca
- dc.identifier.citation Espinosa-Anke L, Camacho-Collados J, Rodríguez-Fernández S, Saggion H, Wanner L. Extending WordNet with fine-grained collocational information via supervised distributional learning. In: Proceedings of COLING 2016: Technical Papers. The 26th International Conference on Computational Linguistics; 2016 Dec. 11-16; Osaka (Japan). [place unknown]: COLING; 2016. p. 900-10.ca
- dc.identifier.uri http://hdl.handle.net/10230/28073
- dc.language.iso engca
- dc.publisher COLINGca
- dc.relation.ispartof Proceedings of COLING 2016: Technical Papers. The 26th International Conference on Computational Linguistics; 2016 Dec. 11-16; Osaka (Japan). [place unknown]: COLING; 2016. p. 900-10.
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/645012
- dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/610411
- dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2015-65308-C5-5-R
- dc.rights This work is licensed under a Creative Commons Attribution 4.0 International License.ca
- dc.rights.accessRights info:eu-repo/semantics/openAccessca
- dc.rights.uri http://creativecommons.org/licenses/by/4.0/
- dc.title Extending WordNet with fine-grained collocational information via supervised distributional learningca
- dc.type info:eu-repo/semantics/conferenceObjectca
- dc.type.version info:eu-repo/semantics/publishedVersionca