How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text

Chihiro Shibata, Kei Uchiumi, Daichi Mochihashi. How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text. 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 4033-4043, International Committee on Computational Linguistics, 2020. [doi]

@inproceedings{ShibataUM20,
  title = {How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text},
  author = {Chihiro Shibata and Kei Uchiumi and Daichi Mochihashi},
  year = {2020},
  url = {https://www.aclweb.org/anthology/2020.coling-main.356/},
  researchr = {https://researchr.org/publication/ShibataUM20},
  cites = {0},
  citedby = {0},
  pages = {4033-4043},
  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},
}