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Hello, I have a pre-trained model for text sentiment polarity classification, with a structure roughly composed of RoBERTa+TextCNN. Can I use the Introspective Rationale Explainer to interpret its output? I aim to obtain the importance/contribution of each word towards the final predicted polarity.
The text was updated successfully, but these errors were encountered:
Hello, I have a pre-trained model for text sentiment polarity classification, with a structure roughly composed of RoBERTa+TextCNN. Can I use the Introspective Rationale Explainer to interpret its output? I aim to obtain the importance/contribution of each word towards the final predicted polarity.
The text was updated successfully, but these errors were encountered: