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        <title>TellMeWhy: Learning to Explain Corrective Feedback for Second Language Learners</title>
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        <namePart type="given">Yi-Huei</namePart>
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            <title>Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations</title>
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        <name type="personal">
            <namePart type="given">Sebastian</namePart>
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            <namePart type="given">Ruihong</namePart>
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    <abstract>We present a writing prototype feedback system, TellMeWhy, to provide explanations of errors in submitted essays. In our approach, the sentence with corrections is analyzed to identify error types and problem words, aimed at customizing explanations based on the context of the error. The method involves learning the relation of errors and problem words, generating common feedback patterns, and extracting grammar patterns, collocations and example sentences. At run-time, a sentence with corrections is classified, and the problem word and template are identified to provide detailed explanations. Preliminary evaluation shows that the method has potential to improve existing commercial writing services.</abstract>
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    <identifier type="doi">10.18653/v1/D19-3040</identifier>
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%0 Conference Proceedings
%T TellMeWhy: Learning to Explain Corrective Feedback for Second Language Learners
%A Lai, Yi-Huei
%A Chang, Jason
%Y Padó, Sebastian
%Y Huang, Ruihong
%S Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations
%D 2019
%8 November
%I Association for Computational Linguistics
%C Hong Kong, China
%F lai-chang-2019-tellmewhy
%X We present a writing prototype feedback system, TellMeWhy, to provide explanations of errors in submitted essays. In our approach, the sentence with corrections is analyzed to identify error types and problem words, aimed at customizing explanations based on the context of the error. The method involves learning the relation of errors and problem words, generating common feedback patterns, and extracting grammar patterns, collocations and example sentences. At run-time, a sentence with corrections is classified, and the problem word and template are identified to provide detailed explanations. Preliminary evaluation shows that the method has potential to improve existing commercial writing services.
%R 10.18653/v1/D19-3040
%U https://aclanthology.org/D19-3040
%U https://doi.org/10.18653/v1/D19-3040
%P 235-240

Markdown (Informal)

[TellMeWhy: Learning to Explain Corrective Feedback for Second Language Learners](https://aclanthology.org/D19-3040) (Lai & Chang, EMNLP-IJCNLP 2019)

• TellMeWhy: Learning to Explain Corrective Feedback for Second Language Learners (Lai & Chang, EMNLP-IJCNLP 2019)

ACL

• Yi-Huei Lai and Jason Chang. 2019. TellMeWhy: Learning to Explain Corrective Feedback for Second Language Learners. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations, pages 235–240, Hong Kong, China. Association for Computational Linguistics.