In this experiment, the results showed that the proposed model based on an Encoder-Decoder transformer model (ArabicT5) on the NADCG corpus achieved an accuracy of 96.17% for classification and an ...

This paper proposes a hybrid model that combines Sequence to Sequence (Seq2Seq) architecture with Convolutional Long Short-Term Memory (ConvLSTM) units to address these challenges. This hybrid model ...

decoder and joiner output is exactly same, but encoder output value is different. (max value is between 5e-06~2e-05.) I think this small difference made different results. Do you have any insights or ...

Successfully developed a text summarization model using Seq2Seq with attention to condense multi-turn dialogues from the SAMSum dataset into coherent and informative summaries. Successfully developed ...