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Named Entity Recognition (NER) and Relation Classification (RC) are importantsteps in extracting information from unstructured text and formatting it into amachine-readable format. We present a survey of recent deep learning modelsthat address named entity recognition and relation classification, with focuson few-shot learning performance. Our survey is helpful for researchers inknowing the recent techniques in text mining and extracting structuredinformation from raw text.

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