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Using Paraphrasing and Memory-Augmented Models to Combat Data Sparsity in Question Interpretation with a Virtual Patient Dialogue System
When interpreting questions in a virtual patient dialogue system one must inevitably tackle the challenge of a long tail of relatively infrequently asked questions.
Combining CNNs and Pattern Matching for Question Interpretation in a Virtual Patient Dialogue System
For medical students, virtual patient dialogue systems can provide useful training opportunities without the cost of employing actors to portray standardized patients.
A Corpus of Word-Aligned Asked and Anticipated Questions in a Virtual Patient Dialogue System
We present a corpus of virtual patient dialogues to which we have added manually annotated gold standard word alignments.
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