Improving Language Modeling using Densely Connected Recurrent Neural Networks

Fréderic Godin, Joni Dambre, Wesley De Neve. Improving Language Modeling using Densely Connected Recurrent Neural Networks. In Phil Blunsom, Antoine Bordes, KyungHyun Cho, Shay B. Cohen, Chris Dyer, Edward Grefenstette, Karl Moritz Hermann, Laura Rimell, Jason Weston, Scott Yih, editors, Proceedings of the 2nd Workshop on Representation Learning for NLP, Rep4NLP@ACL 2017, Vancouver, Canada, August 3, 2017. pages 186-190, Association for Computational Linguistics, 2017. [doi]

@inproceedings{GodinDN17,
  title = {Improving Language Modeling using Densely Connected Recurrent Neural Networks},
  author = {Fréderic Godin and Joni Dambre and Wesley De Neve},
  year = {2017},
  url = {https://aclanthology.info/papers/W17-2622/w17-2622},
  researchr = {https://researchr.org/publication/GodinDN17},
  cites = {0},
  citedby = {0},
  pages = {186-190},
  booktitle = {Proceedings of the 2nd Workshop on Representation Learning for NLP, Rep4NLP@ACL 2017, Vancouver, Canada, August 3, 2017},
  editor = {Phil Blunsom and Antoine Bordes and KyungHyun Cho and Shay B. Cohen and Chris Dyer and Edward Grefenstette and Karl Moritz Hermann and Laura Rimell and Jason Weston and Scott Yih},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-945626-62-3},
}