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Embedding WordNet Knowledge for Textual Entailment
AbstractIn this paper, we study how we can improve a deep learning approach to textual entailment by incorporating lexical entailment relations from WordNet. Our idea is to embed the lexical …...
Certified Robustness to Adversarial Word Substitutions
AbstractState-of-the-art NLP models can often be fooled by adversaries that apply seemingly innocuous label-preserving transformations (e.g., paraphrasing) to input text. The number of possible transformations scales exponentially with text length, …...