RNNs can generate bounded hierarchical languages with optimal memory

John Hewitt, Michael Hahn 0001, Surya Ganguli, Percy Liang, Christopher D. Manning. RNNs can generate bounded hierarchical languages with optimal memory. In Bonnie Webber, Trevor Cohn, Yulan He, Yang Liu, editors, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020. pages 1978-2010, Association for Computational Linguistics, 2020. [doi]

@inproceedings{HewittHGLM20,
  title = {RNNs can generate bounded hierarchical languages with optimal memory},
  author = {John Hewitt and Michael Hahn 0001 and Surya Ganguli and Percy Liang and Christopher D. Manning},
  year = {2020},
  url = {https://www.aclweb.org/anthology/2020.emnlp-main.156/},
  researchr = {https://researchr.org/publication/HewittHGLM20},
  cites = {0},
  citedby = {0},
  pages = {1978-2010},
  booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020},
  editor = {Bonnie Webber and Trevor Cohn and Yulan He and Yang Liu},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-952148-60-6},
}