I implement encoder-decoder based seq2seq models with attention. The encoder and the decoder are pre-attention and post-attention RNNs on both sides of the attention mechanism. Encoder:a RNN ...

Sequential Generation: The decoder is a unidirectional GRU that generates the target language sentence token-by-token. Token-by-Token Prediction: At each time step, the decoder uses the previous token ...

In this study, we present a novel end-to-end approach based on the encoder-decoder framework with the attention mechanism for online handwritten mathematical expression recognition (OHMER). First, the ...

Although encoder-decoder networks with attention have achieved impressive results in many sequence-to-sequence tasks, the mechanisms behind such networks’ generation of appropriate attention matrices ...