@inproceedings{kamigaito-etal-2017-supervised,
    title = "Supervised Attention for Sequence-to-Sequence Constituency Parsing",
    author = "Kamigaito, Hidetaka  and
      Hayashi, Katsuhiko  and
      Hirao, Tsutomu  and
      Takamura, Hiroya  and
      Okumura, Manabu  and
      Nagata, Masaaki",
    booktitle = "Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)",
    month = nov,
    year = "2017",
    address = "Taipei, Taiwan",
    publisher = "Asian Federation of Natural Language Processing",
    url = "https://aclanthology.org/I17-2002",
    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.",
}