SemEval-2018 Task 9: hypernym discovery

Camacho-Collados, Jose; Delli Bovi, Claudio; Espinosa-Anke, Luis; Oramas, Sergio; Pasini, Tommaso; Santus, Enrico; Shwartz, Vered; Navigli, Roberto; Saggion, Horacio

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dc.contributor.author	Camacho-Collados, Jose
dc.contributor.author	Delli Bovi, Claudio
dc.contributor.author	Espinosa-Anke, Luis
dc.contributor.author	Oramas, Sergio
dc.contributor.author	Pasini, Tommaso
dc.contributor.author	Santus, Enrico
dc.contributor.author	Shwartz, Vered
dc.contributor.author	Navigli, Roberto
dc.contributor.author	Saggion, Horacio
dc.date.accessioned	2018-07-24T09:51:26Z
dc.date.available	2018-07-24T09:51:26Z
dc.date.issued	2018
dc.identifier.citation	Camacho-Collados J, Delli Bovi C, Espinosa-Anke L, Oramas S, Pasini T, Santus E, Shwartz V, Navigli R, Saggion H. SemEval-2018 Task 9: hypernym discovery. In: Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval-2018); 2018 Jun 5-6; New Orleans, LA. Stroudsburg (PA): ACL; 2018. p. 712–24.
dc.identifier.uri	http://hdl.handle.net/10230/35249
dc.description	Comunicació presentada al 12th International Workshop on Semantic Evaluation (SemEval-2018), celebrat els dies 5 i 6 de juny de 2018 a Nova Orleans, EUA.
dc.description.abstract	This paper describes the SemEval 2018 Shared Task on Hypernym Discovery. We put forward this task as a complementary benchmark for modeling hypernymy, a problem which has traditionally been cast as a binary classification task, taking a pair of candidate words as input. Instead, our reformulated task is defined as follows: given an input term, retrieve (or discover) its suitable hypernyms from a target corpus. We proposed five different subtasks covering three languages (English, Spanish, and Italian), and two specific domains of knowledge in English (Medical and Music). Participants were allowed to compete in any or all of the subtasks. Overall, a total of 11 teams participated, with a total of 39 different systems submitted through all subtasks. Data, results and further information about the task can be found at https://competitions. codalab.org/competitions/17119.
dc.description.sponsorship	The authors gratefully acknowledge the economic support in the construction of the datasets from the Maria de Maeztu-UPF Grant provided to Horacio Saggion, Luis Espinosa-Anke and Sergio Oramas; Google Research through the Google Doctoral Fellowship in Natural Language Processing to Jose Camacho-Collados; and Bar-Ilan University through Vered Shwartz. This work is partially supported by the TUNER project (TIN2015- 65308-C5-5-R, MINECO/FEDER, UE), Spanish Ministry of Economy and Competitiveness.
dc.format.mimetype	application/pdf
dc.language.iso	eng
dc.publisher	ACL (Association for Computational Linguistics)
dc.relation.ispartof	Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval-2018); 2018 Jun 5-6; New Orleans, LA. Stroudsburg (PA): ACL; 2018. p. 712–24.
dc.rights	© ACL, Creative Commons Attribution 4.0 License
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.subject.other	Tractament del llenguatge natural (Informàtica)
dc.title	SemEval-2018 Task 9: hypernym discovery
dc.type	info:eu-repo/semantics/conferenceObject
dc.relation.projectID	info:eu-repo/grantAgreement/ES/1PE/TIN2015-65308-C5-5-R
dc.rights.accessRights	info:eu-repo/semantics/openAccess
dc.type.version	info:eu-repo/semantics/publishedVersion