Fig. 3From: A multitask bi-directional RNN model for named entity recognition on Chinese electronic medical recordsContextual word representation from vector representation. To extract relevant context information from sentence, bi-directional RNN with LSTM cell is used to extract information from a vector associated with word embedding (red shaded box) and character embedding (white shaded box) to form contextual word representation (green shaded box)Back to article page