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
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 340–345
- Language:
- English
- URL:
- https://aclanthology.org/2020.lrec-1.42
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-5/2020.lrec-1.42.pdf