most citedTrainable Discrete Feature Embeddings for Variational Quantum Classifier

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cs.CL2021

Embracing Ambiguity: Shifting the Training Target of NLI Models

Johannes Mario Meissner, Napat Thumwanit, Saku Sugawara +1

Natural Language Inference (NLI) datasets contain examples with highly ambiguous labels. While many research works do not pay much attention to this fact, several recent efforts ha…