@InProceedings{kamigaito-EtAl:2017:I17-2,
  author    = {Kamigaito, Hidetaka  and  Hayashi, Katsuhiko  and  Hirao, Tsutomu  and  Takamura, Hiroya  and  Okumura, Manabu  and  Nagata, Masaaki},
  title     = {Supervised Attention for Sequence-to-Sequence Constituency Parsing},
  booktitle = {Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)},
  month     = {November},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {7--12},
  abstract  = {The sequence-to-sequence (Seq2Seq) model has been successfully applied to
	machine translation (MT). Recently, MT performances were improved by
	incorporating supervised attention into the model. In this paper, we introduce
	supervised attention to constituency parsing that can be regarded as another
	translation task. Evaluation results on the PTB corpus showed that the
	bracketing F-measure was improved by supervised attention.},
  url       = {http://www.aclweb.org/anthology/I17-2002}
}