Non-Parametric Few-Shot Learning for Word Sense Disambiguation
Non-Parametric Few-Shot Learning for Word Sense Disambiguation
Word sense disambiguation (WSD) is a long-standing problem in natural language processing. One significant challenge in supervised all-words WSD is to classify among senses for a majority of words that lie in the long-tail distribution. For instance, 84% of the annotated words have less than 10 examples in the SemCor …