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2020 COLING COLING 2020

JokeMeter at SemEval-2020 Task 7: Convolutional Humor

Abstract

AbstractThis 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.

🌉 Interdisciplinary Bridge — Artificial Intelligence and Deep Learning
🧭 Keyword Pioneer — humor evaluation
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Martin Docekal , Martin Fajcik , Josef Jon , Pavel Smrz

Topics

Artificial Intelligence > Core AI > Multimodal Learning Deep Learning > Architectures > Neural Networks

Keywords

feature learning humor detection convolutional neural network humor evaluation
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