This repository implements the the encoder and decoder model with attention model for OCR, the encoder uses CNN+Bi-LSTM, the decoder uses GRU. This repository is ...

To fill this gap, we propose two attention-mechanism-based encoder–decoder models that incorporate multisource ... with a success rate of nearly 50%. Our model achieved competitive results, mainly ...

the attention mechanism tells a Neural Machine Translation model where it should pay attention to. A simple encoder-decoder model without the attention mechanism tends to forget the earlier part of ...

Abstract: The attention-based encoder-decoder (AED) speech recognition model has been widely successful in recent years. However, the joint optimization of acoustic model and language model in ...

Most existing solutions typically relied on the standard attention-based encoder-decoder ... To further strengthen the localness model, we share the semantic space of the encoder and decoder. The ...

In this paper, we propose an encoder-decoder model which embeds the interaction between entities and relations, and adds a gate mechanism to control the attention mechanism. Experimental results show ...

Our MEDUSA model is publicly available ... Sensitivity, positive predictive value (PPV), and accuracy of the proposed network (multi-scale encoder-decoder self-attention, MEDUSA) on the test data from ...