Variational Autoencoder with Embedded Student-t Mixture Model for Authorship Attribution

Benedikt T. Boenninghoff, Steffen Zeiler, Robert M. Nickel, Dorothea Kolossa. Variational Autoencoder with Embedded Student-t Mixture Model for Authorship Attribution. In Donia Scott, Núria Bel, Chengqing Zong, editors, Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020. pages 519-529, International Committee on Computational Linguistics, 2020. [doi]

@inproceedings{BoenninghoffZNK20,
  title = {Variational Autoencoder with Embedded Student-t Mixture Model for Authorship Attribution},
  author = {Benedikt T. Boenninghoff and Steffen Zeiler and Robert M. Nickel and Dorothea Kolossa},
  year = {2020},
  url = {https://www.aclweb.org/anthology/2020.coling-main.45/},
  researchr = {https://researchr.org/publication/BoenninghoffZNK20},
  cites = {0},
  citedby = {0},
  pages = {519-529},
  booktitle = {Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020},
  editor = {Donia Scott and Núria Bel and Chengqing Zong},
  publisher = {International Committee on Computational Linguistics},
  isbn = {978-1-952148-27-9},
}