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Human doctors with well-structured medical knowledge can diagnose a disease merely via a few conversations with patients about symptoms.
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Context-Aware Symptom Checking for Disease Diagnosis Using Hierarchical Reinforcement Learning
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MASS: Masked Sequence to Sequence Pre-training for Language Generation
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Knowledge Diffusion for Neural Dialogue Generation
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Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks
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Learning to select knowledge for response generation in dialog systems
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Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification
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End-to-end knowledge-routed relational dialogue system for automatic diagnosis
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Low-Resource Knowledge-Grounded Dialogue Generation
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Efficient Meta Learning via Minibatch Proximal Update
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Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses
Shi, X.; Hu, H.; Che, W.; Sun, Z.; Liu, T.; and Huang, J. 2020 · 2020
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Task Similarity Aware Meta Learning: Theory-inspired Improvement on MAML
Zhou, P.; Zou, Y.; Yuan, X.; Feng, J.; Xiong, C.; and Hoi, S. C. 2020 · 2020
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Grounded conversation generation as guided traverses in commonsense knowledge graphs
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