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.
Using Paraphrasing and Memory-Augmented Models to Combat Data Sparsity in Question Interpretation with a Virtual Patient Dialogue System  [link]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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