Multi-Task Learning for Sequence Tagging: An Empirical Study

Soravit Changpinyo, Hexiang Hu, Fei Sha. Multi-Task Learning for Sequence Tagging: An Empirical Study. In Emily M. Bender, Leon Derczynski, Pierre Isabelle, editors, Proceedings of the 27th International Conference on Computational Linguistics, COLING 2018, Santa Fe, New Mexico, USA, August 20-26, 2018. pages 2965-2977, Association for Computational Linguistics, 2018. [doi]

@inproceedings{ChangpinyoHS18,
  title = {Multi-Task Learning for Sequence Tagging: An Empirical Study},
  author = {Soravit Changpinyo and Hexiang Hu and Fei Sha},
  year = {2018},
  url = {https://aclanthology.info/papers/C18-1251/c18-1251},
  researchr = {https://researchr.org/publication/ChangpinyoHS18},
  cites = {0},
  citedby = {0},
  pages = {2965-2977},
  booktitle = {Proceedings of the 27th International Conference on Computational Linguistics, COLING 2018, Santa Fe, New Mexico, USA, August 20-26, 2018},
  editor = {Emily M. Bender and Leon Derczynski and Pierre Isabelle},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-948087-50-6},
}