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

doi:10.18653/v1/s16-1002

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

^*Corresponding author for this work

Department of Artificial Intelligence and Data Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1366 Citations (Scopus)

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.

Original language	English
Title of host publication	SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings
Publisher	Association for Computational Linguistics (ACL)
Pages	19-30
Number of pages	12
ISBN (Electronic)	9781941643952
DOIs	https://doi.org/10.18653/v1/s16-1002
Publication status	Published - 2016
Event	10th International Workshop on Semantic Evaluation, SemEval 2016 - San Diego, United States Duration: 16 Jun 2016 → 17 Jun 2016

Publication series

Name	SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings

Conference

Conference	10th International Workshop on Semantic Evaluation, SemEval 2016
Country/Territory	United States
City	San Diego
Period	16/06/16 → 17/06/16

Bibliographical note

Publisher Copyright:
© 2016 Association for Computational Linguistics.

Funding

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).

Funders	Funder number
TUBITAK-TEYDEB
Agence Nationale de la Recherche	ANR-12-CORD-0015/TransRead
Russian Foundation for Basic Research	16-07-00342a, 16-37-00311mol_a, 14-07-00682a
Ministerio de Educación, Cultura y Deporte	FPU014/00983, TIN2015-65136-C2-1-R
Ministerio de Economía y Competitividad
Jordan University of Science and Technology	20150164, 110067
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu	3140671

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10.18653/v1/s16-1002

Cite this

Pontiki, M., Galanis, D., Papageorgiou, H., Androutsopoulos, I., Manandhar, S., Al-Smadi, M., Al-Ayyoub, M., Zhao, Y., Qin, B., De Clercq, O., Hoste, V., Apidianaki, M., Tannier, X., Loukachevitch, N., Kotelnikov, E., Bel, N., Jiménez-Zafra, S. M., & Eryigit, G. (2016). SemEval-2016 task 5: Aspect based sentiment analysis. In SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings (pp. 19-30). (SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s16-1002

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title = "SemEval-2016 task 5: Aspect based sentiment analysis",

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.",

author = "Maria Pontiki and Dimitrios Galanis and Haris Papageorgiou and Ion Androutsopoulos and Suresh Manandhar and Mohammad Al-Smadi and Mahmoud Al-Ayyoub and Yanyan Zhao and Bing Qin and {De Clercq}, Orph{\'e}e and V{\'e}ronique Hoste and Marianna Apidianaki and Xavier Tannier and Natalia Loukachevitch and Evgeny Kotelnikov and Nuria Bel and Jim{\'e}nez-Zafra, {Salud Mar{\'i}a} and G{\"u}lsen Eryigit",

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year = "2016",

doi = "10.18653/v1/s16-1002",

language = "English",

series = "SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings",

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Pontiki, M, Galanis, D, Papageorgiou, H, Androutsopoulos, I, Manandhar, S, Al-Smadi, M, Al-Ayyoub, M, Zhao, Y, Qin, B, De Clercq, O, Hoste, V, Apidianaki, M, Tannier, X, Loukachevitch, N, Kotelnikov, E, Bel, N, Jiménez-Zafra, SM & Eryigit, G 2016, SemEval-2016 task 5: Aspect based sentiment analysis. in SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings. SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings, Association for Computational Linguistics (ACL), pp. 19-30, 10th International Workshop on Semantic Evaluation, SemEval 2016, San Diego, United States, 16/06/16. https://doi.org/10.18653/v1/s16-1002

SemEval-2016 task 5: Aspect based sentiment analysis. / Pontiki, Maria; Galanis, Dimitrios; Papageorgiou, Haris et al.
SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings. Association for Computational Linguistics (ACL), 2016. p. 19-30 (SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - SemEval-2016 task 5

T2 - 10th International Workshop on Semantic Evaluation, SemEval 2016

AU - Pontiki, Maria

AU - Galanis, Dimitrios

AU - Papageorgiou, Haris

AU - Androutsopoulos, Ion

AU - Manandhar, Suresh

AU - Al-Smadi, Mohammad

AU - Al-Ayyoub, Mahmoud

AU - Zhao, Yanyan

AU - Qin, Bing

AU - De Clercq, Orphée

AU - Hoste, Véronique

AU - Apidianaki, Marianna

AU - Tannier, Xavier

AU - Loukachevitch, Natalia

AU - Kotelnikov, Evgeny

AU - Bel, Nuria

AU - Jiménez-Zafra, Salud María

AU - Eryigit, Gülsen

PY - 2016

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N2 - 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.

AB - 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.

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T3 - SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings

SP - 19

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BT - SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings

PB - Association for Computational Linguistics (ACL)

Y2 - 16 June 2016 through 17 June 2016

ER -

Pontiki M, Galanis D, Papageorgiou H, Androutsopoulos I, Manandhar S, Al-Smadi M et al. SemEval-2016 task 5: Aspect based sentiment analysis. In SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings. Association for Computational Linguistics (ACL). 2016. p. 19-30. (SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings). doi: 10.18653/v1/s16-1002

SemEval-2016 task 5: Aspect based sentiment analysis

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Bibliographical note

Funding

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