Abstract: Entity matching, which identifies two entities from different sources as the same, is a key task in natural language processing (NLP). Although fine-tuning pre-trained language models has ...
Abstract: Semi-Supervised Few-Shot Learning (SSFSL) aims to train a classifier that can adapt to new tasks using limited labeled data and a fixed amount of unlabeled data. Various sophisticated ...
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