AraProp at WANLP 2022 Shared Task: Leveraging Pre-Trained Language Models for Arabic Propaganda Detection
Gaurav Singh · 2022
This paper presents our approach taken for the shared task on Propaganda Detection in Arabic at the Seventh Arabic Natural Language Processing Workshop (WANLP 2022).We participated in Sub-task 1, where the text of a tweet is provided, and the goal is to identify the different propaganda techniques used in it.This problem belongs to multi-label classification.For our solution, we leveraged different transformer-based pre-trained language models with fine-tuning to solve this problem.In our analysis, we found that MARBERTv2 outperforms in terms of performance, where macro-F1 is 0.08175 and micro-F1 is 0.61116 compared to other language models that we considered.Our method achieved rank 4 in the testing phase of the challenge.