IITD at WANLP 2022 Shared Task: Multilingual Multi-Granularity Network for Propaganda Detection

Shubham Mittal, Preslav Nakov

Abstract
We present our system for the two subtasks of the shared task on propaganda detection in Arabic, part of WANLP’2022. Subtask 1 is a multi-label classification problem to find the propaganda techniques used in a given tweet. Our system for this task uses XLM-R to predict probabilities for the target tweet to use each of the techniques. In addition to finding the techniques, subtask 2 further asks to identify the textual span for each instance of each technique that is present in the tweet; the task can be modelled as a sequence tagging problem. We use a multi-granularity network with mBERT encoder for subtask 2. Overall, our system ranks second for both subtasks (out of 14 and 3 participants, respectively). Our experimental results and analysis show that it does not help to use a much larger English corpus annotated with propaganda techniques, regardless of whether used in English or after translation to Arabic.
Anthology ID:
2022.wanlp-1.63
Volume:
Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)
Month:
December
Year:
2022
Address:
Abu Dhabi, United Arab Emirates (Hybrid)
Editors:
Houda Bouamor, Hend Al-Khalifa, Kareem Darwish, Owen Rambow, Fethi Bougares, Ahmed Abdelali, Nadi Tomeh, Salam Khalifa, Wajdi Zaghouani
Venue:
WANLP
SIG:
SIGARAB
Publisher:
Association for Computational Linguistics
Note:
Pages:
529–533
Language:
URL:
https://preview.aclanthology.org/icon-24-ingestion/2022.wanlp-1.63/
DOI:
10.18653/v1/2022.wanlp-1.63
Bibkey:
Cite (ACL):
Shubham Mittal and Preslav Nakov. 2022. IITD at WANLP 2022 Shared Task: Multilingual Multi-Granularity Network for Propaganda Detection. In Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP), pages 529–533, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.
Cite (Informal):
IITD at WANLP 2022 Shared Task: Multilingual Multi-Granularity Network for Propaganda Detection (Mittal & Nakov, WANLP 2022)
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PDF:
https://preview.aclanthology.org/icon-24-ingestion/2022.wanlp-1.63.pdf
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