Creating Corpora for Research in Feedback Comment Generation.

Ryo Nagata,Kentaro Inui, Shin'ichiro Ishikawa

LREC(2020)

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摘要
In this paper, we report on datasets that we created for research in feedback comment generation - a task of automatically generating feedback comments such as a hint or an explanatory note for writing learning. There has been almost no such corpus open to the public and accordingly there has been a very limited amount of work on this task. In this paper, we first discuss the principle and guidelines for feedback comment annotation. Then, we describe two corpora that we have manually annotated with feedback comments (approximately 50,000 general comments and 6,700 on preposition use). A part of the annotation results is now available on the web, which will facilitate research in feedback comment generation.
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关键词
Feedback comment generation, Writing learning, Grammatical error correction
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