SemEval-2016 task 5: Aspect based sentiment analysis

Maria Pontiki*, Dimitrios Galanis, Haris Papageorgiou, Ion Androutsopoulos, Suresh Manandhar, Mohammad Al-Smadi, Mahmoud Al-Ayyoub, Yanyan Zhao, Bing Qin, Orphée De Clercq, Véronique Hoste, Marianna Apidianaki, Xavier Tannier, Natalia Loukachevitch, Evgeny Kotelnikov, Nuria Bel, Salud María Jiménez-Zafra, Gülsen Eryigit

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

1241 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıSemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings
YayınlayanAssociation for Computational Linguistics (ACL)
Sayfalar19-30
Sayfa sayısı12
ISBN (Elektronik)9781941643952
DOI'lar
Yayın durumuYayınlandı - 2016
Etkinlik10th International Workshop on Semantic Evaluation, SemEval 2016 - San Diego, United States
Süre: 16 Haz 201617 Haz 2016

Yayın serisi

AdıSemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings

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???event.eventtypes.event.conference???10th International Workshop on Semantic Evaluation, SemEval 2016
Ülke/BölgeUnited States
ŞehirSan Diego
Periyot16/06/1617/06/16

Bibliyografik not

Publisher Copyright:
© 2016 Association for Computational Linguistics.

Finansman

The authors are grateful to all the annotators and contributors for their valuable support to the task: Konstantina Papanikolaou, Juli Bakagianni, Omar Qwasmeh, Nesreen Alqasem, Areen Magableh, Saja Alzoubi, Bashar Talafha, Zekui Li, Binbin Li, Shengqiu Li, Aaron Gevaert, Els Lefever, Cécile Richart, Pavel Blinov, Maria Shatalova, M. Teresa Martín-Valdivia, Pilar Santolaria, Fatih Samet Çetin, Ezgi Yıldırım, Can Özbey, Leonidas Valavanis, Stavros Giorgis, Dionysios Xenos, Panos Theodor- akakos, and Apostolos Rousas. The work described in this paper is partially funded by the projects EOX GR07/3712 and “Research Programs for Excellence 2014-2016 / CitySense-ATHENA R.I.C.”. The Arabic track was partially supported by the Jordan University of Science and Technology, Research Grant Number: 20150164. The Dutch track has been partly funded by the PARIS project (IWT-SBO-Nr. 110067). The French track was partially supported by the French National Research Agency under project ANR-12-CORD-0015/TransRead. The Russian track was partially supported by the Russian Foundation for Basic Research (RFBR) according to the research projects No. 14-07-00682a, 16-07-00342a, and No. 16-37-00311mol_a. The Spanish track has been partially supported by a grant from the Ministerio de Educación, Cultura y Deporte (MECD - scholarship FPU014/00983) and REDES project (TIN2015-65136-C2-1-R) from the Minis-terio de Economía y Competitividad. The Turkish track was partially supported by TUBITAK-TEYDEB (The Scientific and Technological Research Council of Turkey – Technology and Innovation Funding Programs Directorate) project (grant number: 3140671).

FinansörlerFinansör numarası
TUBITAK-TEYDEB
Agence Nationale de la RechercheANR-12-CORD-0015/TransRead
Russian Foundation for Basic Research16-07-00342a, 16-37-00311mol_a, 14-07-00682a
Ministerio de Educación, Cultura y DeporteFPU014/00983, TIN2015-65136-C2-1-R
Ministerio de Economía y Competitividad
Jordan University of Science and Technology20150164, 110067
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu3140671

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