Conflibert-arabic: A pre-trained arabic language model for politics, conflicts and violence

S Alsarra, L Abdeljaber, W Yang, N Zawad… - Proceedings of the …, 2023 - aclanthology.org
This study investigates the use of Natural Language Processing (NLP) methods to analyze
politics, conflicts and violence in the Middle East using domain-specific pre-trained …

Political-RAG: using generative AI to extract political information from media content

M Arslan, S Munawar, C Cruz - Journal of Information Technology …, 2024 - Taylor & Francis
In the digital era, media content is crucial for political analysis, providing valuable insights
through news articles, social media posts, speeches, and reports. Natural Language …

Classifying organized criminal violence in mexico using ml and llms

J Osorio, J Vásquez - Proceedings of the 6th Workshop on …, 2023 - aclanthology.org
Abstract Natural Language Processing (NLP) tools have been rapidly adopted in political
science for the study of conflict and violence. In this paper, we present an application to …

Extractive Question Answering for Spanish and Arabic Political Text

S Alsarra, P Whitehead, N Alatrush… - … Conference on Social …, 2024 - Springer
This study advances the integration of domain-specific large language models (LLMs) for
low-resource languages with applications for question-answering (QA). Leveraging on …

[PDF][PDF] I still haven't found what I'm looking for: Predicting conflict fatalities and security-related incidents with Google Trends and Wikipedia data

C Oswald - 2024 - files.de-1.osf.io
Conflict forecasting has seen two recent developments: a shift to predicting continuous
variables and a debate about the value of structural and procedural variables. This paper …

Multilingual Extractive Question Answering With Conflibert for Political and Social Science Studies

PM Whitehead - 2023 - utd-ir.tdl.org
Political conflict and violence have emerged as prominent concerns for political scientists in
both academia and policy circles. The overwhelming influx of complex and dense news …