@inproceedings{4c8bdb87aaa149e3b8536c9bbdd2c973,
title = "N-gram based approach for automatic prediction of essay rubric marks",
author = "Magdalena Jankowska and Colin Conrad and Jabez Harris and Vlado Ke{\v s}elj",
note = "Funding Information: The project was supported by the NSERC Engage grant EGP/507291-2016 with industry partner, D2L Corporation. The authors would like to thank D2L members: Brian Cepuran, VP, D2L Labs and Rose Kocher, Director, Grant & Research Programs, for their guidance in the project and the feedback on the paper. The authors would also like to acknowledge a support from Killam Predoctoral Scholarship. Funding Information: Acknowledgement. The project was supported by the NSERC Engage grant EGP/507291-2016 with industry partner, D2L Corporation. The authors would like to thank D2L members: Brian Cepuran, VP, D2L Labs and Rose Kocher, Director, Grant & Research Programs, for their guidance in the project and the feedback on the paper. The authors would also like to acknowledge a support from Killam Predoctoral Scholarship. Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 31st Canadian Conference on Artificial Intelligence, Canadian AI 2018 ; Conference date: 08-05-2018 Through 11-05-2018",
year = "2018",
doi = "10.1007/978-3-319-89656-4_30",
language = "English",
isbn = "9783319896557",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "298--303",
editor = "Cheung, {Jackie C.} and Ebrahim Bagheri",
booktitle = "Advances in Artificial Intelligence - 31st Canadian Conference on Artificial Intelligence, Canadian AI 2018, Proceedings",
address = "Germany",
}