CLAug 25, 2020
JokeMeter at SemEval-2020 Task 7: Convolutional humor
arXiv:2008.11053v1992 citations
Originality Synthesis-oriented
AI Analysis
This work addresses humor detection in natural language processing, but it appears incremental as it applies an existing CNN method to a new dataset without major innovations.
The authors tackled humor evaluation by developing a convolutional neural network system for SemEval-2020 Task 7, achieving results on the official dataset but without specific performance numbers mentioned.
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.