An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing

Aaron Smith, Miryam de Lhoneux, Sara Stymne, Joakim Nivre. An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing. In Ellen Riloff, David Chiang 0001, Julia Hockenmaier, Jun'ichi Tsujii, editors, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018. pages 2711-2720, Association for Computational Linguistics, 2018. [doi]

@inproceedings{SmithLSN18,
  title = {An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing},
  author = {Aaron Smith and Miryam de Lhoneux and Sara Stymne and Joakim Nivre},
  year = {2018},
  url = {https://aclanthology.info/papers/D18-1291/d18-1291},
  researchr = {https://researchr.org/publication/SmithLSN18},
  cites = {0},
  citedby = {0},
  pages = {2711-2720},
  booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018},
  editor = {Ellen Riloff and David Chiang 0001 and Julia Hockenmaier and Jun'ichi Tsujii},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-948087-84-1},
}