2024
Know-Adapter: Towards Knowledge-Aware Parameter-Efficient Transfer Learning for Few-shot Named Entity Recognition
COLING 2024main
Parameter-Efficient Fine-Tuning (PEFT) is a promising approach to mitigate the challenges about the model adaptation of pretrained language models (PLMs) for the named entity recognition (NER) task. Recent studies have highlighted the improvements that can be made to the quality of information retri…