SEx BiST: A Multi-Source Trainable Parser with Deep Contextualized Lexical Representations

Kyungtae Lim, Cheon-Eum Park, Changki Lee, Thierry Poibeau. SEx BiST: A Multi-Source Trainable Parser with Deep Contextualized Lexical Representations. In Daniel Zeman, Jan Hajic, editors, Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, Brussels, Belgium, October 31 - November 1, 2018. pages 143-152, Association for Computational Linguistics, 2018. [doi]

@inproceedings{LimPLP18,
  title = {SEx BiST: A Multi-Source Trainable Parser with Deep Contextualized Lexical Representations},
  author = {Kyungtae Lim and Cheon-Eum Park and Changki Lee and Thierry Poibeau},
  year = {2018},
  url = {https://aclanthology.info/papers/K18-2014/k18-2014},
  researchr = {https://researchr.org/publication/LimPLP18},
  cites = {0},
  citedby = {0},
  pages = {143-152},
  booktitle = {Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, Brussels, Belgium, October 31 - November 1, 2018},
  editor = {Daniel Zeman and Jan Hajic},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-948087-82-7},
}