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    <titleInfo>
        <title>System Combination for Grammatical Error Correction Based on Integer Programming</title>
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        <namePart type="given">Ruixi</namePart>
        <namePart type="family">Lin</namePart>
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    <name type="personal">
        <namePart type="given">Hwee</namePart>
        <namePart type="given">Tou</namePart>
        <namePart type="family">Ng</namePart>
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            <title>Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)</title>
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            <namePart type="given">Ruslan</namePart>
            <namePart type="family">Mitkov</namePart>
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            <namePart type="given">Galia</namePart>
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    <abstract>In this paper, we propose a system combination method for grammatical error correction (GEC), based on nonlinear integer programming (IP). Our method optimizes a novel F score objective based on error types, and combines multiple end-to-end GEC systems. The proposed IP approach optimizes the selection of a single best system for each grammatical error type present in the data. Experiments of the IP approach on combining state-of-the-art standalone GEC systems show that the combined system outperforms all standalone systems. It improves F0.5 score by 3.61% when combining the two best participating systems in the BEA 2019 shared task, and achieves F0.5 score of 73.08%. We also perform experiments to compare our IP approach with another state-of-the-art system combination method for GEC, demonstrating IP‘s competitive combination capability.</abstract>
    <identifier type="citekey">lin-ng-2021-system</identifier>
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        <url>https://aclanthology.org/2021.ranlp-1.94/</url>
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    <part>
        <date>2021-09</date>
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            <start>824</start>
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%0 Conference Proceedings
%T System Combination for Grammatical Error Correction Based on Integer Programming
%A Lin, Ruixi
%A Ng, Hwee Tou
%Y Mitkov, Ruslan
%Y Angelova, Galia
%S Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
%D 2021
%8 September
%I INCOMA Ltd.
%C Held Online
%F lin-ng-2021-system
%X In this paper, we propose a system combination method for grammatical error correction (GEC), based on nonlinear integer programming (IP). Our method optimizes a novel F score objective based on error types, and combines multiple end-to-end GEC systems. The proposed IP approach optimizes the selection of a single best system for each grammatical error type present in the data. Experiments of the IP approach on combining state-of-the-art standalone GEC systems show that the combined system outperforms all standalone systems. It improves F0.5 score by 3.61% when combining the two best participating systems in the BEA 2019 shared task, and achieves F0.5 score of 73.08%. We also perform experiments to compare our IP approach with another state-of-the-art system combination method for GEC, demonstrating IP‘s competitive combination capability.
%U https://aclanthology.org/2021.ranlp-1.94/
%P 824-829

Markdown (Informal)

[System Combination for Grammatical Error Correction Based on Integer Programming](https://aclanthology.org/2021.ranlp-1.94/) (Lin & Ng, RANLP 2021)

• System Combination for Grammatical Error Correction Based on Integer Programming (Lin & Ng, RANLP 2021)

ACL

• Ruixi Lin and Hwee Tou Ng. 2021. System Combination for Grammatical Error Correction Based on Integer Programming. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), pages 824–829, Held Online. INCOMA Ltd..