Fig. 2From: PASCAL: a pseudo cascade learning framework for breast cancer treatment entity normalization in Chinese clinical textMain architecture of PASCAL model. PASCAL consists of four modules: character embedding module, encoder module (containing a gated convolutional neural network to learn the shared representation with temporal relationship), pseudo cascade structure module (including the enhanced primary task TEN and an auxiliary task TER)Back to article page