Document Type
Conference Proceeding
Publication Date
1-1-2023
Journal / Book Title
Arabicnlp 2023 1st Arabic Natural Language Processing Conference Proceedings
Abstract
In this paper, we share our best performing submission to the Arabic AI Tasks Evaluation Challenge (ArAIEval) at ArabicNLP 2023. Our focus was on Task 1, which involves identifying persuasion techniques in excerpts from tweets and news articles. The persuasion technique in Arabic texts was detected using a training loop with XLM-RoBERTa, a language-agnostic text representation model. This approach proved to be potent, leveraging fine-tuning of a multilingual language model. In our evaluation of the test set, we achieved a micro F1 score of 0.64 for subtask A of the competition.
DOI
10.18653/v1/2023.arabicnlp-1.61
Journal ISSN / Book ISBN
85175140969 (Scopus)
Montclair State University Digital Commons Citation
Ojo, Olumide E.; Adebanji, Olaronke O.; Calvo, Hiram; Dieke, Damian O.; Ojo, Olumuyiwa E.; Akinsanya, Seye E.; Abiola, Tolulope O.; and Feldman, Anna, "Legend at ArAIEval Shared Task: Persuasion Technique Detection using a Language-Agnostic Text Representation Model" (2023). School of Computing Faculty Scholarship and Creative Works. 53.
https://digitalcommons.montclair.edu/computing-facpubs/53
Published Citation
Olumide Ojo, Olaronke Adebanji, Hiram Calvo, Damian Dieke, Olumuyiwa Ojo, Seye Akinsanya, Tolulope Abiola, and Anna Feldman. 2023. Legend at ArAIEval Shared Task: Persuasion Technique Detection using a Language-Agnostic Text Representation Model. In Proceedings of ArabicNLP 2023, pages 594–599, Singapore (Hybrid). Association for Computational Linguistics.
Comments
This Open Access article is published under the Creative Commons Attribution 4.0 International License.