Abstract
In this paper, we describe our participation in SemEval-2019 Task 3: EmoContext - A Shared Task on Contextual Emotion Detection in Text. We propose a three layer model with a generic, multi-purpose approach that without any task specific optimizations achieve competitive results (f1 score of 0.7096) in the EmoContext task. We describe our development strategy in detail along with an exposition of our results.
Cite
CITATION STYLE
Bogdan, D. C. (2019). GenSMT at SemEval-2019 task 3: Contextual emotion detection in tweets using multi task generic approach. In NAACL HLT 2019 - International Workshop on Semantic Evaluation, SemEval 2019, Proceedings of the 13th Workshop (pp. 225–229). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s19-2037
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