An Ordinal Latent Variable Model of Conflict Intensity

By Niklas Stoehr, Lucas Torroba Hennigen, Josef Valvoda, Robert West, Ryan Cotterell, Aaron Schein

Published in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, 2023

Measuring the intensity of events is crucial for monitoring and tracking armed conflict. In this paper, we propose a generative model that captures the intensity of conflict-related events via an ordinal latent variable. We evaluate the proposed model both intrinsically and extrinsically, showing that it obtains good held-out predictive performance.

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