Chinese Medical Question Answer Matching Based on Interactive Sentence Representation Learning

27 Nov 2020 Xiongtao Cui Jungang Han

Chinese medical question-answer matching is more challenging than the open-domain question answer matching in English. Even though the deep learning method has performed well in improving the performance of question answer matching, these methods only focus on the semantic information inside sentences, while ignoring the semantic association between questions and answers, thus resulting in performance deficits... (read more)

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Methods used in the Paper


METHOD TYPE
Dense Connections
Feedforward Networks
Layer Normalization
Normalization
Adam
Stochastic Optimization
Residual Connection
Skip Connections
Scaled Dot-Product Attention
Attention Mechanisms
Linear Warmup With Linear Decay
Learning Rate Schedules
Softmax
Output Functions
Multi-Head Attention
Attention Modules
Dropout
Regularization
WordPiece
Subword Segmentation
GELU
Activation Functions
Attention Dropout
Regularization
Weight Decay
Regularization
BERT
Language Models
BiGRU
Bidirectional Recurrent Neural Networks