SemEval-2016 task 5: aspect based sentiment analysis

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dc.contributor.authorPontiki, Maria
dc.contributor.authorGalanis, Dimitris
dc.contributor.authorPapageorgiou, Haris
dc.contributor.authorAndroutsopoulos, Ion
dc.contributor.authorManandhar, Suresh
dc.contributor.authorAl-Smadi, Mohammad
dc.contributor.authorAl-Ayyoub, Mahmoud
dc.contributor.authorZhao, Yanyan
dc.contributor.authorQin, Bing
dc.contributor.authorDe Clercq, Orphée
dc.contributor.authorHoste, Véronique
dc.contributor.authorApidianaki, Marianna
dc.contributor.authorTannier, Xavier
dc.contributor.authorLoukachevitch, Natalia
dc.contributor.authorKotelnikov, Evgeniy
dc.contributor.authorBel, Nuria
dc.contributor.authorBel Rafecas, Núria
dc.contributor.authorJiménez-Zafra, Salud María
dc.contributor.authorEryiğit, Gülşen
dc.date.accessioned2024-10-22T06:36:30Z
dc.date.available2024-10-22T06:36:30Z
dc.date.issued2016
dc.descriptionComunicació 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.abstractThis 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.mimetypeapplication/pdf
dc.identifier.citationPontiki 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.doihttp://dx.doi.org/10.18653/v1/S16-1002
dc.identifier.issn0736-587X
dc.identifier.urihttp://hdl.handle.net/10230/68305
dc.language.isoeng
dc.publisherACL (Association for Computational Linguistics)
dc.relation.ispartofProceedings 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.projectIDinfo:eu-repo/grantAgreement/ES/1PE/TIN2015-65136-C2-1-R
dc.rightsACL 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.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/
dc.subject.otherLlenguatge i llengües
dc.subject.otherGramàtica comparada i general
dc.subject.otherLingüística
dc.titleSemEval-2016 task 5: aspect based sentiment analysis
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.versioninfo:eu-repo/semantics/publishedVersion

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