Realizing when a model is right for a wrong reason is not trivial and
re...
Feature attribution a.k.a. input salience methods which assign an import...
Recently more attention has been given to adversarial attacks on neural
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Gorman and Bedrick (2019) recently argued for using random splits rather...
Embeddings are generic representations that are useful for many NLP task...
Understanding open-domain text is one of the primary challenges in natur...