A Few-Shot Learning Focused Survey on Recent Named Entity Recognition and Relation Classification Methods

arXiv:2310.19055v2 Announce Type: replace
Abstract: Named Entity Recognition (NER) and Relation Classification (RC) are important steps in extracting information from unstructured text and formatting it into a machine-readable format. We present a survey of recent deep learning models that address named entity recognition and relation classification, with focus on few-shot learning performance. Our survey is helpful for researchers in knowing the recent techniques in text mining and extracting structured information from raw text.

abstract arxiv classification cs.cl deep learning few-shot few-shot learning format information machine ner recognition survey text type unstructured