NLP models often degrade in performance when real world data distributio...
Training a Named Entity Recognition (NER) model often involves fixing a
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We explore how weak supervision on abundant unlabeled data can be levera...
Studies in bias and fairness in natural language processing have primari...
Temporal concept drift refers to the problem of data changing over time....
Aspect-based Sentiment Analysis (ABSA) is a fine-grained sentiment analy...