Enhancing Policy Analysis with NLP: A Reproducible Approach to Incentive Classification

M.a. Waskow, John Philip McCrae


Anthology ID:
2025.konvens-2.6
Volume:
Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Workshops
Month:
September
Year:
2025
Address:
Hannover, Germany
Editors:
Christian Wartena, Ulrich Heid
Venue:
KONVENS
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Publisher:
HsH Applied Academics
Note:
Pages:
74–85
Language:
URL:
https://preview.aclanthology.org/corrections-2025-09/2025.konvens-2.6/
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Cite (ACL):
M.a. Waskow and John Philip 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.
Cite (Informal):
Enhancing Policy Analysis with NLP: A Reproducible Approach to Incentive Classification (Waskow & McCrae, KONVENS 2025)
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https://preview.aclanthology.org/corrections-2025-09/2025.konvens-2.6.pdf