Load the dataset. Train and test a model (typically, this would be a pre-trained model like BERT or RoBERTa). Add a classification layer after the encoder. Add a decoder for sequence generation or ...

Decoder The decoder generates the summary from the context vector produced by the encoder. Similar to the encoder, the decoder also uses LSTM layers, taking the context vector and a previous word ...

Our model adopts the encoder-decoder model. The encoder model improved the KBGAT model with a gate mechanism to control the attention mechanism and use entity embeddings to update relation embeddings.

Testing a decoder is then as simple as checking its output matches what our tools expected. Testing a VC-2 encoder, however, is less simple as the VC-2 specification gives these a greater degree ...