Abstract
Understanding what is expected of academic writing can be difficult for novice writers to assimilate, and recent years have seen several automated tools become available to support academic writing. Our work presents a framework for annotating features of the Related Work section of academic writing, that supports writer feedback.- Anthology ID:
- W19-4011
- Volume:
- Proceedings of the 13th Linguistic Annotation Workshop
- Month:
- August
- Year:
- 2019
- Address:
- Florence, Italy
- Editors:
- Annemarie Friedrich, Deniz Zeyrek, Jet Hoek
- Venue:
- LAW
- SIG:
- SIGANN
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 90–99
- Language:
- URL:
- https://aclanthology.org/W19-4011
- DOI:
- 10.18653/v1/W19-4011
- Cite (ACL):
- Arlene Casey, Bonnie Webber, and Dorota Glowacka. 2019. A Framework for Annotating ‘Related Works’ to Support Feedback to Novice Writers. In Proceedings of the 13th Linguistic Annotation Workshop, pages 90–99, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- A Framework for Annotating ‘Related Works’ to Support Feedback to Novice Writers (Casey et al., LAW 2019)
- PDF:
- https://preview.aclanthology.org/corrections-2024-07/W19-4011.pdf