Anastassia Loukina, Nitin Madnani, Klaus Zechner. The many dimensions of algorithmic fairness in educational applications. In Helen Yannakoudakis, Ekaterina Kochmar, Claudia Leacock, Nitin Madnani, Ildikó Pilán, Torsten Zesch, editors, Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, BEA@ACL 2019, Florence, Italy, August 2, 2019. pages 1-10, Association for Computational Linguistics, 2019. [doi]
@inproceedings{LoukinaMZ19,
title = {The many dimensions of algorithmic fairness in educational applications},
author = {Anastassia Loukina and Nitin Madnani and Klaus Zechner},
year = {2019},
url = {https://www.aclweb.org/anthology/W19-4401/},
researchr = {https://researchr.org/publication/LoukinaMZ19},
cites = {0},
citedby = {0},
pages = {1-10},
booktitle = {Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, BEA@ACL 2019, Florence, Italy, August 2, 2019},
editor = {Helen Yannakoudakis and Ekaterina Kochmar and Claudia Leacock and Nitin Madnani and Ildikó Pilán and Torsten Zesch},
publisher = {Association for Computational Linguistics},
isbn = {978-1-950737-34-5},
}