ArAIEval Shared Task: Propagandistic Techniques Detection in Unimodal and Multimodal Arabic Content
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2024
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866913418181607424 |
|---|---|
| author | Hasanain, Maram Hasan, Md. Arid Ahmed, Fatema Suwaileh, Reem Biswas, Md. Rafiul Zaghouani, Wajdi Alam, Firoj |
| author_facet | Hasanain, Maram Hasan, Md. Arid Ahmed, Fatema Suwaileh, Reem Biswas, Md. Rafiul Zaghouani, Wajdi Alam, Firoj |
| contents | We present an overview of the second edition of the ArAIEval shared task, organized as part of the ArabicNLP 2024 conference co-located with ACL 2024. In this edition, ArAIEval offers two tasks: (i) detection of propagandistic textual spans with persuasion techniques identification in tweets and news articles, and (ii) distinguishing between propagandistic and non-propagandistic memes. A total of 14 teams participated in the final evaluation phase, with 6 and 9 teams participating in Tasks 1 and 2, respectively. Finally, 11 teams submitted system description papers. Across both tasks, we observed that fine-tuning transformer models such as AraBERT was at the core of the majority of the participating systems. We provide a description of the task setup, including a description of the dataset construction and the evaluation setup. We further provide a brief overview of the participating systems. All datasets and evaluation scripts are released to the research community (https://araieval.gitlab.io/). We hope this will enable further research on these important tasks in Arabic. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_04247 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | ArAIEval Shared Task: Propagandistic Techniques Detection in Unimodal and Multimodal Arabic Content Hasanain, Maram Hasan, Md. Arid Ahmed, Fatema Suwaileh, Reem Biswas, Md. Rafiul Zaghouani, Wajdi Alam, Firoj Computation and Language Artificial Intelligence Computer Vision and Pattern Recognition 68T50 F.2.2; I.2.7 We present an overview of the second edition of the ArAIEval shared task, organized as part of the ArabicNLP 2024 conference co-located with ACL 2024. In this edition, ArAIEval offers two tasks: (i) detection of propagandistic textual spans with persuasion techniques identification in tweets and news articles, and (ii) distinguishing between propagandistic and non-propagandistic memes. A total of 14 teams participated in the final evaluation phase, with 6 and 9 teams participating in Tasks 1 and 2, respectively. Finally, 11 teams submitted system description papers. Across both tasks, we observed that fine-tuning transformer models such as AraBERT was at the core of the majority of the participating systems. We provide a description of the task setup, including a description of the dataset construction and the evaluation setup. We further provide a brief overview of the participating systems. All datasets and evaluation scripts are released to the research community (https://araieval.gitlab.io/). We hope this will enable further research on these important tasks in Arabic. |
| title | ArAIEval Shared Task: Propagandistic Techniques Detection in Unimodal and Multimodal Arabic Content |
| topic | Computation and Language Artificial Intelligence Computer Vision and Pattern Recognition 68T50 F.2.2; I.2.7 |
| url | https://arxiv.org/abs/2407.04247 |