Using Paraphrasing and Memory-Augmented Models to Combat Data Sparsity in Question Interpretation with a Virtual Patient Dialogue System . Jin, L., King, D., Hussein, A., White, M., & Danforth, D. In Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications , pages 13–23, 2018. Association for Computational Linguistics. Paper doi bibtex @InProceedings{jin-et-al:2018:BEA,
author = "Jin, Lifeng
and King, David
and Hussein, Amad
and White, Michael
and Danforth, Douglas",
title = "Using Paraphrasing and Memory-Augmented Models to Combat Data Sparsity in Question Interpretation with a Virtual Patient Dialogue System ",
booktitle = "Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications ",
year = "2018",
publisher = "Association for Computational Linguistics",
pages = "13--23",
location = "New Orleans, Louisiana",
doi = "10.18653/v1/W18-0502",
url = "http://aclweb.org/anthology/W18-0502"
}
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