Published in EMNLP, 2021
An open-source tool to help researchers without computational backgrounds do automated frame detection
Recommended citation: Bhatia, Vibhu, Vidya Prasad Akavoor, Sejin Paik, Lei Guo, Mona Jalal, Alyssa Smith, David Assefa Tofu, et al. 2021. “OpenFraming: Open-Sourced Tool for Computational Framing Analysis of Multilingual Data.” In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 242–50. Online and Punta Cana, Dominican Republic: Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.emnlp-demo.28.
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