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A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution
State-of-the-art natural language processing models have been shown to achieve remarkable performance in âclosed-worldâ settings where all the labels in the evaluation set are known at training time. However, in real-world settings, ânovelâ instances that do not belong to any known class are often observed. This renders the ability to âŚ