2024
ELLEN: Extremely Lightly Supervised Learning for Efficient Named Entity Recognition
COLING 2024main
In this work, we revisit the problem of semi-supervised named entity recognition (NER) focusing on extremely light supervision, consisting of a lexicon containing only 10 examples per class. We introduce ELLEN, a simple, fully modular, neuro-symbolic method that blends fine-tuned language models wit…