Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks

Carsten Schnober, Steffen Eger, Erik-Lân Do Dinh, Iryna Gurevych. Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks. In Nicoletta Calzolari, Yuji Matsumoto, Rashmi Prasad, editors, COLING 2016, 26th International Conference on Computational Linguistics, Proceedings of the Conference: Technical Papers, December 11-16, 2016, Osaka, Japan. pages 1703-1714, ACL, 2016. [doi]

@inproceedings{SchnoberEDG16,
  title = {Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks},
  author = {Carsten Schnober and Steffen Eger and Erik-Lân Do Dinh and Iryna Gurevych},
  year = {2016},
  url = {http://aclweb.org/anthology/C/C16/C16-1160.pdf},
  researchr = {https://researchr.org/publication/SchnoberEDG16},
  cites = {0},
  citedby = {0},
  pages = {1703-1714},
  booktitle = {COLING 2016, 26th International Conference on Computational Linguistics, Proceedings of the Conference: Technical Papers, December 11-16, 2016, Osaka, Japan},
  editor = {Nicoletta Calzolari and Yuji Matsumoto and Rashmi Prasad},
  publisher = {ACL},
  isbn = {978-4-87974-702-0},
}