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2020 SEMEVAL SemEval 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.

πŸŒ‰ Interdisciplinary Bridge β€” Deep Learning and Machine Learning
🐝 Cross-Pollinator β€” 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

Machine Learning > Core Methods > Classification Deep Learning > Architectures > Neural Networks

Keywords

text classification humor detection convolutional neural network feature analysis
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