Few Shot NER

There is a recent interest in investigating few- shot NER, where the low-resource target do- main has different label sets compared with a resource-rich source domain. Existing meth- ods use …...

AbstractNamed Entity Recognition (NER) in Few-Shot setting is imperative for entity tagging in low resource domains. Existing approaches only learn class-specific semantic features and intermediate representations from source domains. This …...

AbstractFew-shot NER needs to effectively capture information from limited instances and transfer useful knowledge from external resources. In this paper, we propose a self-describing mechanism for few-shot NER, which can …...

AbstractDemonstration-based learning has shown great potential in stimulating pretrained language models’ ability under limited data scenario. Simply augmenting the input with some demonstrations can significantly improve performance on few-shot NER. …...