Detail publikace

JokeMeter at SemEval-2020 Task 7: Convolutional Humor

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

Originální název

JokeMeter at SemEval-2020 Task 7: Convolutional Humor

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

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

Vydáno

16. 12. 2020

Nakladatel

Association for Computational Linguistics

Místo

Barcelona (online)

ISBN

978-1-952148-31-6

Kniha

Proceedings of the Fourteenth Workshop on Semantic Evaluation

Edice

2020

Strany od

843

Strany do

851

Strany počet

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/"
}