SemEval-2016 task 5: aspect based sentiment analysis
SemEval-2016 task 5: aspect based sentiment analysis
Citació
- 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
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Descripció
Resum
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.Descripció
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.