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Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs
People increasingly search online for answers to their medical questions but the rate at which medical questions are asked online significantly exceeds the capacity of qualified people to answer them.
Classification as Decoder: Trading Flexibility for Control in Medical Dialogue
Generative seq2seq dialogue systems are trained to predict the next word in dialogues that have already occurred.
Domain-Relevant Embeddings for Medical Question Similarity
The rate at which medical questions are asked online far exceeds the capacity of qualified people to answer them, and many of these questions are not unique.
Open Set Medical Diagnosis
Machine-learned diagnosis models have shown promise as medical aides but are trained under a closed-set assumption, i. e. that models will only encounter conditions on which they have been trained.
Classification As Decoder: Trading Flexibility For Control In Neural Dialogue
Only 12% of our discriminative approach's responses are worse than the doctor's response in the same conversational context, compared to 18% for the generative model.
Prototypical Clustering Networks for Dermatological Disease Diagnosis
We consider the problem of image classification for the purpose of aiding doctors in dermatological diagnosis.
