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We present a new approach to referring ex- pression generation, casting it as a density es- timation problem where the goal is to learn distributions over logical expressions identi- fying …...

AbstractTransformer language models have shown remarkable ability in detecting when a word is anomalous in context, but likelihood scores offer no information about the cause of the anomaly. In this …...

AbstractWord-level adversarial attacks have shown success in NLP models, drastically decreasing the performance of transformer-based models in recent years. As a countermeasure, adversarial defense has been explored, but relatively few …...