BiLSTM

2001년 도입 · 논문 657편에서 사용

A Bidirectional LSTM, or biLSTM, is a sequence processing model that consists of two LSTMs: one taking the input in a forward direction, and the other in a backwards direction. BiLSTMs effectively increase the amount of information available to the network, improving the context available to the algorithm (e.g. knowing what words immediately follow *and* precede a word in a sentence). Image Source: Modelling Radiological Language with Bidirectional Long Short-Term Memory Networks, Cornegruta et al