FII FUNNY at SemEval-2021 Task 7: HaHackathon: Detecting and rating Humor and Offense

Mihai Samson, Daniela Gifu


Abstract
The “HaHackathon: Detecting and Rating Humor and Offense” task at the SemEval 2021 competition focuses on detecting and rating the humor level in sentences, as well as the level of offensiveness contained in these texts with humoristic tones. In this paper, we present an approach based on recent Deep Learning techniques by both trying to train the models based on the dataset solely and by trying to fine-tune pre-trained models on the gigantic corpus.
Anthology ID:
2021.semeval-1.174
Volume:
Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)
Month:
August
Year:
2021
Address:
Online
Venues:
ACL | IJCNLP | SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
1226–1231
Language:
URL:
https://aclanthology.org/2021.semeval-1.174
DOI:
10.18653/v1/2021.semeval-1.174
Bibkey:
Copy Citation:
PDF:
https://aclanthology.org/2021.semeval-1.174.pdf