Papers with saliency-based explanation baseline

1 papers
StyLEx: Explaining Style Using Human Lexical Annotations (2023.eacl-main)

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Challenge: Large pre-trained language models often learn spurious domain-specific words to make predictions.
Approach: They propose a model that learns from human annotated explanations of stylistic features and jointly predicts them as model explanations.
Outcome: The proposed model can provide human like stylistic lexical explanations without sacrificing performance on in-domain and out-of-domain datasets.

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