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%0 Conference Proceedings
%T Deriving Players & Themes in the Regesta Imperii using SVMs and Neural Networks
%A Opitz, Juri
%A Frank, Anette
%Y Reiter, Nils
%Y Alex, Beatrice
%Y Zervanou, Kalliopi A.
%S Proceedings of the 10th SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities
%D 2016
%8 August
%I Association for Computational Linguistics
%C Berlin, Germany
%F opitz-frank-2016-deriving
%R 10.18653/v1/W16-2108
%U https://aclanthology.org/W16-2108
%U https://doi.org/10.18653/v1/W16-2108
%P 74-83

Markdown (Informal)

[Deriving Players & Themes in the Regesta Imperii using SVMs and Neural Networks](https://aclanthology.org/W16-2108) (Opitz & Frank, LaTeCH 2016)

• Deriving Players & Themes in the Regesta Imperii using SVMs and Neural Networks (Opitz & Frank, LaTeCH 2016)

ACL

• Juri Opitz and Anette Frank. 2016. Deriving Players & Themes in the Regesta Imperii using SVMs and Neural Networks. In Proceedings of the 10th SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities, pages 74–83, Berlin, Germany. Association for Computational Linguistics.