NAACL 2022long8 citations
Combining Humor and Sarcasm for Improving Political Parody Detection
Xiao Ao, Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras
Abstract
Parody is a figurative device used for mimicking entities for comedic or critical purposes. Parody is intentionally humorous and often involves sarcasm. This paper explores jointly modelling these figurative tropes with the goal of improving performance of political parody detection in tweets. To this end, we present a multi-encoder model that combines three parallel encoders to enrich parody-specific representations with humor and sarcasm information. Experiments on a publicly available data set of political parody tweets demonstrate that our approach outperforms previous state-of-the-art methods.
BibTeX
@inproceedings{ao-etal-2022-combining,
title = "Combining Humor and Sarcasm for Improving Political Parody Detection",
author = "Ao, Xiao and
Sanchez Villegas, Danae and
Preotiuc-Pietro, Daniel and
Aletras, Nikolaos",
editor = "Carpuat, Marine and
de Marneffe, Marie-Catherine and
Meza Ruiz, Ivan Vladimir",
booktitle = "Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
month = jul,
year = "2022",
address = "Seattle, United States",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.naacl-main.131/",
doi = "10.18653/v1/2022.naacl-main.131",
pages = "1800--1807"
}