<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="chen-etal-2020-improving-efficiency">
    <titleInfo>
        <title>Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Mengyun</namePart>
        <namePart type="family">Chen</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Tao</namePart>
        <namePart type="family">Ge</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Xingxing</namePart>
        <namePart type="family">Zhang</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Furu</namePart>
        <namePart type="family">Wei</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Ming</namePart>
        <namePart type="family">Zhou</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2020-11</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)</title>
        </titleInfo>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Online</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>We propose a novel language-independent approach to improve the efficiency for Grammatical Error Correction (GEC) by dividing the task into two subtasks: Erroneous Span Detection (ESD) and Erroneous Span Correction (ESC). ESD identifies grammatically incorrect text spans with an efficient sequence tagging model. Then, ESC leverages a seq2seq model to take the sentence with annotated erroneous spans as input and only outputs the corrected text for these spans. Experiments show our approach performs comparably to conventional seq2seq approaches in both English and Chinese GEC benchmarks with less than 50% time cost for inference.</abstract>
    <identifier type="citekey">chen-etal-2020-improving-efficiency</identifier>
    <identifier type="doi">10.18653/v1/2020.emnlp-main.581</identifier>
    <location>
        <url>https://aclanthology.org/2020.emnlp-main.581</url>
    </location>
    <part>
        <date>2020-11</date>
        <extent unit="page">
            <start>7162</start>
            <end>7169</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction
%A Chen, Mengyun
%A Ge, Tao
%A Zhang, Xingxing
%A Wei, Furu
%A Zhou, Ming
%S Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F chen-etal-2020-improving-efficiency
%X We propose a novel language-independent approach to improve the efficiency for Grammatical Error Correction (GEC) by dividing the task into two subtasks: Erroneous Span Detection (ESD) and Erroneous Span Correction (ESC). ESD identifies grammatically incorrect text spans with an efficient sequence tagging model. Then, ESC leverages a seq2seq model to take the sentence with annotated erroneous spans as input and only outputs the corrected text for these spans. Experiments show our approach performs comparably to conventional seq2seq approaches in both English and Chinese GEC benchmarks with less than 50% time cost for inference.
%R 10.18653/v1/2020.emnlp-main.581
%U https://aclanthology.org/2020.emnlp-main.581
%U https://doi.org/10.18653/v1/2020.emnlp-main.581
%P 7162-7169

Markdown (Informal)

[Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction](https://aclanthology.org/2020.emnlp-main.581) (Chen et al., EMNLP 2020)

• Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction (Chen et al., EMNLP 2020)

ACL

• Mengyun Chen, Tao Ge, Xingxing Zhang, Furu Wei, and Ming Zhou. 2020. Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 7162–7169, Online. Association for Computational Linguistics.