Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision

7 Oct 2020 Max Glockner Ivan Habernal Iryna Gurevych

Evaluating the trustworthiness of a model's prediction is essential for differentiating between `right for the right reasons' and `right for the wrong reasons'. Identifying textual spans that determine the target label, known as faithful rationales, usually relies on pipeline approaches or reinforcement learning... (read more)

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