Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited

Artur Kulmizev, Miryam de Lhoneux, Johannes Gontrum, Elena Fano, Joakim Nivre. Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited. In Kentaro Inui, Jing Jiang, Vincent Ng, Xiaojun Wan 0001, editors, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019. pages 2755-2768, Association for Computational Linguistics, 2019. [doi]

@inproceedings{KulmizevLGFN19,
  title = {Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited},
  author = {Artur Kulmizev and Miryam de Lhoneux and Johannes Gontrum and Elena Fano and Joakim Nivre},
  year = {2019},
  doi = {10.18653/v1/D19-1277},
  url = {https://doi.org/10.18653/v1/D19-1277},
  researchr = {https://researchr.org/publication/KulmizevLGFN19},
  cites = {0},
  citedby = {0},
  pages = {2755-2768},
  booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019},
  editor = {Kentaro Inui and Jing Jiang and Vincent Ng and Xiaojun Wan 0001},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-950737-90-1},
}