Work

SI2M & AIOX Labs at WANLP 2022 Shared Task: Propaganda Detection in Arabic, A Data Augmentation and Name Entity Recognition Approach

Year: 2022

Type: conference-paper

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, Named 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 14 teams.

Source: Arabic Natural Language Processing Workshop (WANLP)

DOI: 10.18653/v1/2022.wanlp-1.58

Authors: Kamel Gaanoun, Imade Benelallam

Institution: Institut National de Statistique et d'Economie Appliquée

Language: English

Topic: Misinformation and Its Impacts

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W4385573213

FWCI: 1.556

Cites: 14

Cited by: 2

Related to: 10