Creating Corpora for Research in Feedback Comment Generation

Ryo Nagata, Kentaro Inui, Shin’ichiro Ishikawa


Abstract
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
Anthology ID:
2020.lrec-1.42
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
340–345
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.42
DOI:
Bibkey:
Cite (ACL):
Ryo Nagata, Kentaro Inui, and Shin’ichiro Ishikawa. 2020. Creating Corpora for Research in Feedback Comment Generation. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 340–345, Marseille, France. European Language Resources Association.
Cite (Informal):
Creating Corpora for Research in Feedback Comment Generation (Nagata et al., LREC 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.lrec-1.42.pdf