The AIP-Tohoku System at the BEA-2019 Shared Task

Hiroki Asano; Masato Mita; Tomoya Mizumoto; Jun Suzuki

doi:10.18653/v1/W19-4418

The AIP-Tohoku System at the BEA-2019 Shared Task

Hiroki Asano, Masato Mita, Tomoya Mizumoto, Jun Suzuki

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Abstract

We introduce the AIP-Tohoku grammatical error correction (GEC) system for the BEA-2019 shared task in Track 1 (Restricted Track) and Track 2 (Unrestricted Track) using the same system architecture. Our system comprises two key components: error generation and sentence-level error detection. In particular, GEC with sentence-level grammatical error detection is a novel and versatile approach, and we experimentally demonstrate that it significantly improves the precision of the base model. Our system is ranked 9th in Track 1 and 2nd in Track 2.

Anthology ID:: W19-4418
Volume:: Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
Month:: August
Year:: 2019
Address:: Florence, Italy
Editors:: Helen Yannakoudakis, Ekaterina Kochmar, Claudia Leacock, Nitin Madnani, Ildikó Pilán, Torsten Zesch
Venue:: BEA
SIG:: SIGEDU
Publisher:: Association for Computational Linguistics
Note:
Pages:: 176–182
Language:
URL:: https://aclanthology.org/W19-4418/
DOI:: 10.18653/v1/W19-4418
Bibkey:
Cite (ACL):: Hiroki Asano, Masato Mita, Tomoya Mizumoto, and Jun Suzuki. 2019. The AIP-Tohoku System at the BEA-2019 Shared Task. In Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, pages 176–182, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):: The AIP-Tohoku System at the BEA-2019 Shared Task (Asano et al., BEA 2019)
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PDF:: https://aclanthology.org/W19-4418.pdf

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@inproceedings{asano-etal-2019-aip,
    title = "The {AIP}-Tohoku System at the {BEA}-2019 Shared Task",
    author = "Asano, Hiroki  and
      Mita, Masato  and
      Mizumoto, Tomoya  and
      Suzuki, Jun",
    editor = "Yannakoudakis, Helen  and
      Kochmar, Ekaterina  and
      Leacock, Claudia  and
      Madnani, Nitin  and
      Pil{\'a}n, Ildik{\'o}  and
      Zesch, Torsten",
    booktitle = "Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications",
    month = aug,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W19-4418/",
    doi = "10.18653/v1/W19-4418",
    pages = "176--182",
    abstract = "We introduce the AIP-Tohoku grammatical error correction (GEC) system for the BEA-2019 shared task in Track 1 (Restricted Track) and Track 2 (Unrestricted Track) using the same system architecture. Our system comprises two key components: error generation and sentence-level error detection. In particular, GEC with sentence-level grammatical error detection is a novel and versatile approach, and we experimentally demonstrate that it significantly improves the precision of the base model. Our system is ranked 9th in Track 1 and 2nd in Track 2."
}

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%0 Conference Proceedings
%T The AIP-Tohoku System at the BEA-2019 Shared Task
%A Asano, Hiroki
%A Mita, Masato
%A Mizumoto, Tomoya
%A Suzuki, Jun
%Y Yannakoudakis, Helen
%Y Kochmar, Ekaterina
%Y Leacock, Claudia
%Y Madnani, Nitin
%Y Pilán, Ildikó
%Y Zesch, Torsten
%S Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F asano-etal-2019-aip
%X We introduce the AIP-Tohoku grammatical error correction (GEC) system for the BEA-2019 shared task in Track 1 (Restricted Track) and Track 2 (Unrestricted Track) using the same system architecture. Our system comprises two key components: error generation and sentence-level error detection. In particular, GEC with sentence-level grammatical error detection is a novel and versatile approach, and we experimentally demonstrate that it significantly improves the precision of the base model. Our system is ranked 9th in Track 1 and 2nd in Track 2.
%R 10.18653/v1/W19-4418
%U https://aclanthology.org/W19-4418/
%U https://doi.org/10.18653/v1/W19-4418
%P 176-182

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Markdown (Informal)

[The AIP-Tohoku System at the BEA-2019 Shared Task](https://aclanthology.org/W19-4418/) (Asano et al., BEA 2019)

The AIP-Tohoku System at the BEA-2019 Shared Task (Asano et al., BEA 2019)

ACL

Hiroki Asano, Masato Mita, Tomoya Mizumoto, and Jun Suzuki. 2019. The AIP-Tohoku System at the BEA-2019 Shared Task. In Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, pages 176–182, Florence, Italy. Association for Computational Linguistics.