2021
Few-Shot Named Entity Recognition: An Empirical Baseline Study
EMNLP 2021main
This paper presents an empirical study to efficiently build named entity recognition (NER) systems when a small amount of in-domain labeled data is available. Based upon recent Transformer-based self-supervised pre-trained language models (PLMs), we investigate three orthogonal schemes to improve mo…