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SemEval-2016 Task 5: Aspect Based Sentiment Analysisстатья
- Авторы: Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, Ion Androutsopoulos, Suresh Manandhar, Mohammad AL-Smadi, Mahmoud Al-Ayyoub, Yanyan Zhao, Bing Qin, Orphee De_Clercq, Veronique Hoste, Marianna Apidianaki, Xavier Tannier, Natalia Loukachevitch, Evgeniy Kotelnikov, Núria Bel, Salud María Jiménez-Zafra, Gülşen Eryiğit
- Сборник: Proceedings of the 10th International workshop on Semantic Evaluation SemEval-2016
- Год издания: 2016
- Первая страница: 19
- Последняя страница: 30
- Аннотация: This paper describes the SemEval2016 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 thefirsttimeasasubtaskinSemEval. Thetask attracted 245 submissions from 29 teams.
- Добавил в систему: Лукашевич Наталья Валентиновна