Abstract
This paper describes our system that was designed for Humor evaluation within the SemEval-2020 Task 7. The system is based on convolutional neural network architecture. We investigate the system on the official dataset, and we provide more insight to model itself to see how the learned inner features look.
Cite
CITATION STYLE
Docekal, M., Fajcik, M., Jon, J., & Smrz, P. (2020). JokeMeter at SemEval-2020 Task 7: Convolutional humor. In 14th International Workshops on Semantic Evaluation, SemEval 2020 - co-located 28th International Conference on Computational Linguistics, COLING 2020, Proceedings (pp. 843–851). International Committee for Computational Linguistics. https://doi.org/10.18653/v1/2020.semeval-1.106
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