Espinosa-Anke, LuisCamacho-Collados, JoseRodríguez Fernández, SaraSaggion, HoracioWanner, Leo2017-02-072017-02-072016Espinosa-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.http://hdl.handle.net/10230/28073Comunicació presentada a COLING 2016: the 26th International Conference on Computational Linguistics; 2016 Dec. 11-16; Osaka (Japan)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.application/pdfengThis work is licensed under a Creative Commons Attribution 4.0 International License.info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess