Supervised Attention for Sequence-to-Sequence Constituency Parsing

Hidetaka Kamigaito; Katsuhiko Hayashi; Tsutomu Hirao; Hiroya Takamura; Manabu Okumura; Masaaki Nagata

Supervised Attention for Sequence-to-Sequence Constituency Parsing

Hidetaka Kamigaito, Katsuhiko Hayashi, Tsutomu Hirao, Hiroya Takamura, Manabu Okumura, Masaaki Nagata

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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.

Anthology ID:: I17-2002
Volume:: Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
Month:: November
Year:: 2017
Address:: Taipei, Taiwan
Editors:: Greg Kondrak, Taro Watanabe
Venue:: IJCNLP
SIG:
Publisher:: Asian Federation of Natural Language Processing
Note:
Pages:: 7–12
Language:
URL:: https://aclanthology.org/I17-2002/
DOI:
Bibkey:
Cite (ACL):: Hidetaka Kamigaito, Katsuhiko Hayashi, Tsutomu Hirao, Hiroya Takamura, Manabu Okumura, and Masaaki Nagata. 2017. Supervised Attention for Sequence-to-Sequence Constituency Parsing. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 7–12, Taipei, Taiwan. Asian Federation of Natural Language Processing.
Cite (Informal):: Supervised Attention for Sequence-to-Sequence Constituency Parsing (Kamigaito et al., IJCNLP 2017)
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PDF:: https://aclanthology.org/I17-2002.pdf

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@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",
 editor = "Kondrak, Greg and
 Watanabe, Taro",
 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."
}

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%0 Conference Proceedings
%T Supervised Attention for Sequence-to-Sequence Constituency Parsing
%A Kamigaito, Hidetaka
%A Hayashi, Katsuhiko
%A Hirao, Tsutomu
%A Takamura, Hiroya
%A Okumura, Manabu
%A Nagata, Masaaki
%Y Kondrak, Greg
%Y Watanabe, Taro
%S Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
%D 2017
%8 November
%I Asian Federation of Natural Language Processing
%C Taipei, Taiwan
%F kamigaito-etal-2017-supervised
%X 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.
%U https://aclanthology.org/I17-2002/
%P 7-12

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Markdown (Informal)

[Supervised Attention for Sequence-to-Sequence Constituency Parsing](https://aclanthology.org/I17-2002/) (Kamigaito et al., IJCNLP 2017)

Supervised Attention for Sequence-to-Sequence Constituency Parsing (Kamigaito et al., IJCNLP 2017)

ACL

Hidetaka Kamigaito, Katsuhiko Hayashi, Tsutomu Hirao, Hiroya Takamura, Manabu Okumura, and Masaaki Nagata. 2017. Supervised Attention for Sequence-to-Sequence Constituency Parsing. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 7–12, Taipei, Taiwan. Asian Federation of Natural Language Processing.