Encoder-Decoder Seq2Seq (Sequence-to-Sequence) is a type of neural network architecture used for machine translation, speech recognition, and other natural language processing tasks. The ...

Armed with attention mechanism, the recurrent neural network-based encoder-decoder model (or sequence to sequence model) has become the standard architecture to tackle many sequence Nature Language ...

Recurrent sequence-to-sequence models using encoder-decoder architecture have made great progress in speech recognition task. However, they suffer from the drawback of slow training speed because the ...

I have been attempting with various models to try to build an encoder-decoder, sequence to sequence transformer model. For the most part, I have been using BERT (bert-base-cased), but have encountered ...