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%0 Conference Proceedings
%T Decoding 16th-Century Letters: From Topic Models to GPT-Based Keyword Mapping
%A Ströbel, Phillip Benjamin
%A Aderhold, Stefan
%A Roller, Ramona
%Y Luz de Araujo, Pedro Henrique
%Y Baumann, Andreas
%Y Gromann, Dagmar
%Y Krenn, Brigitte
%Y Roth, Benjamin
%Y Wiegand, Michael
%S Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024)
%D 2024
%8 September
%I Association for Computational Linguistics
%C Vienna, Austria
%F strobel-etal-2024-decoding
%U https://aclanthology.org/2024.konvens-main.23
%P 209-221

Markdown (Informal)

[Decoding 16th-Century Letters: From Topic Models to GPT-Based Keyword Mapping](https://aclanthology.org/2024.konvens-main.23) (Ströbel et al., KONVENS 2024)

• Decoding 16th-Century Letters: From Topic Models to GPT-Based Keyword Mapping (Ströbel et al., KONVENS 2024)

ACL

• Phillip Benjamin Ströbel, Stefan Aderhold, and Ramona Roller. 2024. Decoding 16th-Century Letters: From Topic Models to GPT-Based Keyword Mapping. In Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024), pages 209–221, Vienna, Austria. Association for Computational Linguistics.