In this repository we will be implementing a simple encoder decoder model with Tensorflow 2 to familiarize ourselves with the sequence-to-sequence architecture. We are going to describe the basic ...

I have implemented encoder-decoder based seq2seq models with attention. The first aim for this implementation is to work towards computational grounded theory and thematic analysis using NLP and deep ...

The KG embedded layer improve entities pair accuracy in diffident languages, by softly matching entities pair embedding in the encoder and decoder steps. The KG attention layer leverages entity ...

The encoder-decoder constructor framework for NMT proposed by Tu et al. (2017) adds a new ‘reconstructor’ structure to the original NMT model. It aims at doing translation from the hidden state of the ...

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...

This paper proposes a novel Ψ-Net architecture that consists of three encoders and a decoder for animal image segmentation. The main characteristic of our proposed architecture is that the outputs at ...