Feature-Rich Error Detection in Scientific Writing Using Logistic Regression

Madeline Remse, Mohsen Mesgar, Michael Strube


Anthology ID:
W16-0518
Volume:
Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications
Month:
June
Year:
2016
Address:
San Diego, CA
Editors:
Joel Tetreault, Jill Burstein, Claudia Leacock, Helen Yannakoudakis
Venue:
BEA
SIG:
SIGEDU
Publisher:
Association for Computational Linguistics
Note:
Pages:
162–171
Language:
URL:
https://aclanthology.org/W16-0518
DOI:
10.18653/v1/W16-0518
Bibkey:
Cite (ACL):
Madeline Remse, Mohsen Mesgar, and Michael Strube. 2016. Feature-Rich Error Detection in Scientific Writing Using Logistic Regression. In Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, pages 162–171, San Diego, CA. Association for Computational Linguistics.
Cite (Informal):
Feature-Rich Error Detection in Scientific Writing Using Logistic Regression (Remse et al., BEA 2016)
Copy Citation:
PDF:
https://aclanthology.org/W16-0518.pdf