A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition

1 code implementation • RepL4NLP (ACL) 2022 • Yuxuan Chen, Jonas Mikkelsen, Arne Binder, Christoph Alt, Leonhard Hennig

Pre-trained language models (PLM) are effective components of few-shot named entity recognition (NER) approaches when augmented with continued pre-training on task-specific out-of-domain data or fine-tuning on in-domain data.

Contrastive Learning Low Resource Named Entity Recognition +4