Deriving Players & Themes in the Regesta Imperii using SVMs and Neural Networks

Juri Opitz, Anette Frank


Anthology ID:
W16-2108
Volume:
Proceedings of the 10th SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities
Month:
August
Year:
2016
Address:
Berlin, Germany
Editors:
Nils Reiter, Beatrice Alex, Kalliopi A. Zervanou
Venue:
LaTeCH
SIG:
SIGHUM
Publisher:
Association for Computational Linguistics
Note:
Pages:
74–83
Language:
URL:
https://aclanthology.org/W16-2108
DOI:
10.18653/v1/W16-2108
Bibkey:
Cite (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.
Cite (Informal):
Deriving Players & Themes in the Regesta Imperii using SVMs and Neural Networks (Opitz & Frank, LaTeCH 2016)
Copy Citation:
PDF:
https://aclanthology.org/W16-2108.pdf