Result Details

JokeMeter at SemEval-2020 Task 7: Convolutional Humor

DOČEKAL, M.; FAJČÍK, M.; JON, J.; SMRŽ, P. JokeMeter at SemEval-2020 Task 7: Convolutional Humor. In Proceedings of the Fourteenth Workshop on Semantic Evaluation. 2020. Barcelona (online): Association for Computational Linguistics, 2020. p. 843-851. ISBN: 978-1-952148-31-6.
Type
conference paper
Language
English
Authors
Dočekal Martin, Ing., DCGM (FIT)
Fajčík Martin, Ing., Ph.D., DCGM (FIT)
Jon Josef, Ing.
Smrž Pavel, doc. RNDr., Ph.D., DCGM (FIT)
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

URL
Published
2020
Pages
843–851
Proceedings
Proceedings of the Fourteenth Workshop on Semantic Evaluation
Series
2020
Conference
The 28th International Conference on Computational Linguistics
ISBN
978-1-952148-31-6
Publisher
Association for Computational Linguistics
Place
Barcelona (online)
DOI
10.18653/v1/2020.semeval-1.106
EID Scopus
2-s2.0-85098816875
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/"
}
Projects
Distant Reading for European Literary History, MŠMT, INTER-EXCELLENCE - Podprogram INTER-COST, LTC18054, start: 2018-06-01, end: 2021-10-31, completed
Research groups
Knowledge Technology Research Group (RG KNOT)
Departments
Department of Computer Graphics and Multimedia (DCGM)
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