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%0 Conference Proceedings
%T Enhancing Policy Analysis with NLP: A Reproducible Approach to Incentive Classification
%A Waskow, M. A.
%A McCrae, John P.
%Y Wartena, Christian
%Y Heid, Ulrich
%S Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Workshops
%D 2025
%8 September
%I HsH Applied Academics
%C Hannover, Germany
%F waskow-mccrae-2025-enhancing
%U https://aclanthology.org/2025.konvens-2.6/
%P 74-85

Markdown (Informal)

[Enhancing Policy Analysis with NLP: A Reproducible Approach to Incentive Classification](https://aclanthology.org/2025.konvens-2.6/) (Waskow & McCrae, KONVENS 2025)

• Enhancing Policy Analysis with NLP: A Reproducible Approach to Incentive Classification (Waskow & McCrae, KONVENS 2025)

ACL

• M.A. Waskow and John P. McCrae. 2025. Enhancing Policy Analysis with NLP: A Reproducible Approach to Incentive Classification. In Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Workshops, pages 74–85, Hannover, Germany. HsH Applied Academics.