subramanya1997/Novel-T5
We propose to use a mode that favors sentiment understanding and empathetic response generation using the sentiment of each dialogue context. It is based on the Text-to-Text Transformer (T5) and we extend it with a sentiment analysis model and weighted loss during training.
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Mar 28, 2023
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