Legend at ArAIEval Shared Task: Persuasion Technique Detection using a Language-Agnostic Text Representation Model

Olumide E. Ojo, Olaronke O. Adebanji, Hiram Calvo, Damian O. Dieke, Olumuyiwa E. Ojo, Seye E. Akinsanya, Tolulope O. Abiola, Anna Feldman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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.

Original languageEnglish
Title of host publicationArabicNLP 2023 - 1st Arabic Natural Language Processing Conference, Porceedings
EditorsHassan Sawaf, Samhaa El-Beltagy, Wajdi Zaghouani, Walid Magdy, Nadi Tomeh, Ibrahim Abu Farha, Nizar Habash, Salam Khalifa, Amr Keleg, Hatem Haddad, Imed Zitouni, Ahmed Abdelali, Khalil Mrini, Rawan Almatham
PublisherAssociation for Computational Linguistics (ACL)
Pages594-599
Number of pages6
ISBN (Electronic)9781959429272
StatePublished - 2023
Event1st Arabic Natural Language Processing Conference, ArabicNLP 2023 - Hybrid, Singapore, Singapore
Duration: 7 Dec 2023 → …

Publication series

NameArabicNLP 2023 - 1st Arabic Natural Language Processing Conference, Proceedings

Conference

Conference1st Arabic Natural Language Processing Conference, ArabicNLP 2023
Country/TerritorySingapore
CityHybrid, Singapore
Period7/12/23 → …

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