SemEval-2016 task 5: aspect based sentiment analysis

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• dc.contributor.author Pontiki, Maria
• dc.contributor.author Galanis, Dimitris
• dc.contributor.author Papageorgiou, Haris
• dc.contributor.author Androutsopoulos, Ion
• dc.contributor.author Manandhar, Suresh
• dc.contributor.author Al-Smadi, Mohammad
• dc.contributor.author Al-Ayyoub, Mahmoud
• dc.contributor.author Zhao, Yanyan
• dc.contributor.author Qin, Bing
• dc.contributor.author De Clercq, Orphée
• dc.contributor.author Hoste, Véronique
• dc.contributor.author Apidianaki, Marianna
• dc.contributor.author Tannier, Xavier
• dc.contributor.author Loukachevitch, Natalia
• dc.contributor.author Kotelnikov, Evgeniy
• dc.contributor.author Bel, Nuria
• dc.contributor.author Bel Rafecas, Núria
• dc.contributor.author Jiménez-Zafra, Salud María
• dc.contributor.author Eryiğit, Gülşen
• dc.date.accessioned 2024-10-22T06:36:30Z
• dc.date.available 2024-10-22T06:36:30Z
• dc.date.issued 2016
• dc.description Comunicació presentada a la 10th International Workshop on Semantic Evaluation (SemEval-2016), celebrada del 16 al 17 de juny de 2016 a San Diego, California.
• dc.description.abstract This paper describes the SemEval 2016 shared task on Aspect Based Sentiment Analysis (ABSA), a continuation of the respective tasks of 2014 and 2015. In its third year, the task provided 19 training and 20 testing datasets for 8 languages and 7 domains, as well as a common evaluation procedure. From these datasets, 25 were for sentence-level and 14 for text-level ABSA; the latter was introduced for the first time as a subtask in SemEval. The task attracted 245 submissions from 29 teams.
• dc.format.mimetype application/pdf
• dc.identifier.citation Pontiki M, Galanis D, Papageorgiou H, Androutsopoulos I, Manandhar S, Al-Smadi M, et al. SemEval-2016 task 5: aspect based sentiment analysis. In: Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016); 2016 Jun 16-17; San Diego, California. [San Diego]: Association for Computational Linguistics; 2016. p. 19-30. DOI: 10.18653/v1/S16-1002
• dc.identifier.doi http://dx.doi.org/10.18653/v1/S16-1002
• dc.identifier.issn 0736-587X
• dc.identifier.uri http://hdl.handle.net/10230/68305
• dc.language.iso eng
• dc.publisher ACL (Association for Computational Linguistics)
• dc.relation.ispartof Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016); 2016 Jun 16-17; San Diego, California. [San Diego]: Association for Computational Linguistics; 2016. p. 19-30
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2015-65136-C2-1-R
• dc.rights ACL materials are Copyright © 1963–2024 ACL; other materials are copyrighted by their respective copyright holders. Materials prior to 2016 here are licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 International License. Permission is granted to make copies for the purposes of teaching and research. Materials published in or after 2016 are licensed on a Creative Commons Attribution 4.0 International License.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/
• dc.subject.other Llenguatge i llengües
• dc.subject.other Gramàtica comparada i general
• dc.subject.other Lingüística
• dc.title SemEval-2016 task 5: aspect based sentiment analysis
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/publishedVersion