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          <dc:title>Automated Essay Rewriting (AER): Grammatical Error Correction, Fluency Edits, and Beyond</dc:title>
          <dc:title xml:lang="en">Automated Essay Rewriting (AER): Grammatical Error Correction, Fluency Edits, and Beyond</dc:title>
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            <jpcoar:creatorName>Masato, Mita</jpcoar:creatorName>
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            <jpcoar:creatorName>Masato, Hagiwara</jpcoar:creatorName>
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            <jpcoar:creatorName>Keisuke, Sakaguchi</jpcoar:creatorName>
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            <jpcoar:creatorName>Tomoya, Mizumoto</jpcoar:creatorName>
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            <jpcoar:creatorName>Jun, Suzuki</jpcoar:creatorName>
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            <jpcoar:creatorName>Kentaro, Inui</jpcoar:creatorName>
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            <jpcoar:creatorName xml:lang="en">Masato, Mita</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Masato, Hagiwara</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Keisuke, Sakaguchi</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Tomoya, Mizumoto</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Jun, Suzuki</jpcoar:creatorName>
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            <jpcoar:creatorName xml:lang="en">Kentaro, Inui</jpcoar:creatorName>
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          <datacite:description descriptionType="Other">We propose the Automated Essay Rewriting (AER) task, where computer systems make automatic edits to argumentative essays to improve their quality. AER subsumes types of edits beyond single sentences such as coherence, cohesion, and style, which are not within the scope of traditional tasks such as grammatical error correction (GEC) and fluency edits. The quantitative and qualitative analyses of a corpus specifically designed for AER reveal that these edits account for almost half of edits made by professional proofreaders. We also discuss the challenges, issues, and future direction of AER by comparing with other tasks.</datacite:description>
          <datacite:description descriptionType="Other">We propose the Automated Essay Rewriting (AER) task, where computer systems make automatic edits to argumentative essays to improve their quality. AER subsumes types of edits beyond single sentences such as coherence, cohesion, and style, which are not within the scope of traditional tasks such as grammatical error correction (GEC) and fluency edits. The quantitative and qualitative analyses of a corpus specifically designed for AER reveal that these edits account for almost half of edits made by professional proofreaders. We also discuss the challenges, issues, and future direction of AER by comparing with other tasks.</datacite:description>
          <dc:publisher xml:lang="ja">情報処理学会</dc:publisher>
          <datacite:date dateType="Issued">2019-08-22</datacite:date>
          <dc:language>eng</dc:language>
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          <jpcoar:sourceIdentifier identifierType="NCID">AN10115061</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>研究報告自然言語処理（NL）</jpcoar:sourceTitle>
          <jpcoar:volume>2019-NL-241</jpcoar:volume>
          <jpcoar:issue>24</jpcoar:issue>
          <jpcoar:pageStart>1</jpcoar:pageStart>
          <jpcoar:pageEnd>5</jpcoar:pageEnd>
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