Publication detail

JokeMeter at SemEval-2020 Task 7: Convolutional Humor

DOČEKAL, M. FAJČÍK, M. JON, J. SMRŽ, P.

Original Title

JokeMeter at SemEval-2020 Task 7: Convolutional Humor

Type

conference paper

Language

English

Original 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.

Keywords

convolutional neural networks, CNN, humor, funniness, convolution, assessing humor, estimating the humor, estimating the funniness

Authors

DOČEKAL, M.; FAJČÍK, M.; JON, J.; SMRŽ, P.

Released

16. 12. 2020

Publisher

Association for Computational Linguistics

Location

Barcelona (online)

ISBN

978-1-952148-31-6

Book

Proceedings of the Fourteenth Workshop on Semantic Evaluation

Edition

2020

Pages from

843

Pages to

851

Pages count

9

URL

https://www.aclweb.org/anthology/2020.semeval-1.106/

BibTex

@inproceedings{BUT168150,
  author="Martin {Dočekal} and Martin {Fajčík} and Josef {Jon} and Pavel {Smrž}",
  title="JokeMeter at SemEval-2020 Task 7: Convolutional Humor",
  booktitle="Proceedings of the Fourteenth Workshop on Semantic Evaluation",
  year="2020",
  series="2020",
  pages="843--851",
  publisher="Association for Computational Linguistics",
  address="Barcelona (online)",
  doi="10.18653/v1/2020.semeval-1.106",
  isbn="978-1-952148-31-6",
  url="https://www.aclweb.org/anthology/2020.semeval-1.106/"
}