@inproceedings{827d90438a7a44aaa511f0c8b7ef437d,
title = "TUG-CIC at SemEval-2021 Task 6: Two-stage Fine-tuning for Intended Sarcasm Detection",
abstract = "We present our systems and findings for the iSarcasmEval: Intended Sarcasm Detection In English and Arabic at SEMEVAL 2022. Specifically we take part in the Subtask A for the English language. The task aims to determine whether a text from social media (a tweet) is sarcastic or not. We model the problem using knowledge sources, a pre-trained language model on sentiment/emotion data and a dataset focused on intended sarcasm. Our submission ranked third place among 43 teams. In addition, we show a brief error analysis of our best model to investigate challenging examples for detecting sarcasm.",
author = "Jason Angel and Aroyehun, {Segun Taofeek} and Alexander Gelbukh",
note = "Publisher Copyright: {\textcopyright} 2022 Association for Computational Linguistics.; 16th International Workshop on Semantic Evaluation, SemEval 2022 ; Conference date: 14-07-2022 Through 15-07-2022",
year = "2022",
language = "Ingl{\'e}s",
series = "SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop",
publisher = "Association for Computational Linguistics (ACL)",
pages = "951--955",
editor = "Guy Emerson and Natalie Schluter and Gabriel Stanovsky and Ritesh Kumar and Alexis Palmer and Nathan Schneider and Siddharth Singh and Shyam Ratan",
booktitle = "SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop",
}