@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
Markdown (Informal)
[The AIP-Tohoku System at the BEA-2019 Shared Task](https://aclanthology.org/W19-4418) (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.