ANLI
Adversarial NLI
홈페이지 · 논문 287편
The Adversarial Natural Language Inference (ANLI, Nie et al.) is a new large-scale NLI benchmark dataset, collected via an iterative, adversarial human-and-model-in-the-loop procedure. Particular, the data is selected to be difficult to the state-of-the-art models, including BERT and RoBERTa. Source: The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding Image Source: https://arxiv.org/pdf/1910.14599.pdf
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