@inproceedings{gaanoun-benelallam-2022-si2m,
title = "{SI}2{M} {\&} {AIOX} Labs at {WANLP} 2022 Shared Task: Propaganda Detection in {A}rabic, A Data Augmentation and Name Entity Recognition Approach",
author = "Gaanoun, Kamel and
Benelallam, Imade",
editor = "Bouamor, Houda and
Al-Khalifa, Hend and
Darwish, Kareem and
Rambow, Owen and
Bougares, Fethi and
Abdelali, Ahmed and
Tomeh, Nadi and
Khalifa, Salam and
Zaghouani, Wajdi",
booktitle = "Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)",
month = dec,
year = "2022",
address = "Abu Dhabi, United Arab Emirates (Hybrid)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.wanlp-1.58",
doi = "10.18653/v1/2022.wanlp-1.58",
pages = "506--510",
abstract = "This paper presents SI2M {\&} AIOX Labs work among the propaganda detection in Arabic text shared task. The objective of this challenge is to identify the propaganda techniques used in specific propaganda fragments. We use a combination of data augmentation, Name Entity Recognition, rule-based repetition detection, and ARBERT prediction to develop our system. The model we provide scored 0.585 micro F1-Score and ranked 6th out of 12 teams.",
}
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%0 Conference Proceedings
%T SI2M & AIOX Labs at WANLP 2022 Shared Task: Propaganda Detection in Arabic, A Data Augmentation and Name Entity Recognition Approach
%A Gaanoun, Kamel
%A Benelallam, Imade
%Y Bouamor, Houda
%Y Al-Khalifa, Hend
%Y Darwish, Kareem
%Y Rambow, Owen
%Y Bougares, Fethi
%Y Abdelali, Ahmed
%Y Tomeh, Nadi
%Y Khalifa, Salam
%Y Zaghouani, Wajdi
%S Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)
%D 2022
%8 December
%I Association for Computational Linguistics
%C Abu Dhabi, United Arab Emirates (Hybrid)
%F gaanoun-benelallam-2022-si2m
%X This paper presents SI2M & AIOX Labs work among the propaganda detection in Arabic text shared task. The objective of this challenge is to identify the propaganda techniques used in specific propaganda fragments. We use a combination of data augmentation, Name Entity Recognition, rule-based repetition detection, and ARBERT prediction to develop our system. The model we provide scored 0.585 micro F1-Score and ranked 6th out of 12 teams.
%R 10.18653/v1/2022.wanlp-1.58
%U https://aclanthology.org/2022.wanlp-1.58
%U https://doi.org/10.18653/v1/2022.wanlp-1.58
%P 506-510
Markdown (Informal)
[SI2M & AIOX Labs at WANLP 2022 Shared Task: Propaganda Detection in Arabic, A Data Augmentation and Name Entity Recognition Approach](https://aclanthology.org/2022.wanlp-1.58) (Gaanoun & Benelallam, WANLP 2022)
ACL