@inproceedings{mohtaj-moller-2022-tub,
title = "{TUB} at {WANLP}22 Shared Task: Using Semantic Similarity for Propaganda Detection in {A}rabic",
author = {Mohtaj, Salar and
M{\"o}ller, Sebastian},
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-1.57",
doi = "10.18653/v1/2022.wanlp-1.57",
pages = "501--505",
abstract = "Propaganda and the spreading of fake news through social media have become a serious problem in recent years. In this paper we present our approach for the shared task on propaganda detection in Arabic in which the goal is to identify propaganda techniques in the Arabic social media text. We propose a semantic similarity detection model to compare text in the test set with the sentences in the train set to find the most similar instances. The label of the target text is obtained from the most similar texts in the train set. The proposed model obtained the micro F1 score of 0.494 on the text data set.",
}
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%0 Conference Proceedings
%T TUB at WANLP22 Shared Task: Using Semantic Similarity for Propaganda Detection in Arabic
%A Mohtaj, Salar
%A Möller, Sebastian
%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 mohtaj-moller-2022-tub
%X Propaganda and the spreading of fake news through social media have become a serious problem in recent years. In this paper we present our approach for the shared task on propaganda detection in Arabic in which the goal is to identify propaganda techniques in the Arabic social media text. We propose a semantic similarity detection model to compare text in the test set with the sentences in the train set to find the most similar instances. The label of the target text is obtained from the most similar texts in the train set. The proposed model obtained the micro F1 score of 0.494 on the text data set.
%R 10.18653/v1/2022.wanlp-1.57
%U https://aclanthology.org/2022.wanlp-1.57
%U https://doi.org/10.18653/v1/2022.wanlp-1.57
%P 501-505
Markdown (Informal)
[TUB at WANLP22 Shared Task: Using Semantic Similarity for Propaganda Detection in Arabic](https://aclanthology.org/2022.wanlp-1.57) (Mohtaj & Möller, WANLP 2022)
ACL