Publication Details

KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques Detection

HROMÁDKA, T.; SMOLEŇ, T.; REMIŠ, T.; PECHER, B.; SRBA, I. KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques Detection. In 17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop. Toronto: Association for Computational Linguistics, 2023. p. 629-637. ISBN: 978-1-959429-99-9.
Czech title
KInITVeraAI na SemEval-2023 úlohe 3: Jednoduché ale výkonné viacjazyčný fine-tuning pre detekciu techník presviedčania.
Type
conference paper
Language
English
Authors
HROMÁDKA, T.
SMOLEŇ, T.
REMIŠ, T.
Pecher Branislav, Ing. (DCGM)
SRBA, I.
URL
Keywords

multilingual persuasion technique detection, fine-tuning, SemEval

Abstract

This paper presents the best-performing solution to the SemEval 2023 Task 3 on the subtask 3 dedicated to persuasion techniques detection. Due to a high multilingual character of the input data and a large number of 23 predicted labels (causing a lack of labelled data for some language-label combinations), we opted for fine-tuning pre-trained transformer-based language models. Conducting multiple experiments, we find the best configuration, which consists of large multilingual model (XLM-RoBERTa large) trained jointly on all input data, with carefully calibrated confidence thresholds for seen and surprise languages separately. Our final system performed the best on 6 out of 9 languages (including two surprise languages) and achieved highly competitive results on the remaining three languages.

Published
2023
Pages
629–637
Proceedings
17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop
ISBN
978-1-959429-99-9
Publisher
Association for Computational Linguistics
Place
Toronto
DOI
10.18653/v1/2023.semeval-1.86
EID Scopus
2-s2.0-85168849823
BibTeX 
@inproceedings{BUT185334,
  author="HROMÁDKA, T. and SMOLEŇ, T. and REMIŠ, T. and PECHER, B. and SRBA, I.",
  title="KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques Detection",
  booktitle="17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop",
  year="2023",
  pages="629--637",
  publisher="Association for Computational Linguistics",
  address="Toronto",
  doi="10.18653/v1/2023.semeval-1.86",
  isbn="978-1-959429-99-9",
  url="https://aclanthology.org/2023.semeval-1.86/"
}
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