Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition

arXiv:2403.14222v1 Announce Type: new
Abstract: Few-shot named entity recognition (NER) detects named entities within text using only a few annotated examples. One promising line of research is to leverage natural language descriptions of each entity type: the common label PER might, for example, be verbalized as ''person entity.'' In an initial label interpretation learning phase, the model learns to interpret such verbalized descriptions of entity types. In a subsequent few-shot tagset extension phase, this model is then given a description …

abstract arxiv cs.cl example examples few-shot interpretation language line natural natural language ner per person recognition research scale text type