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

Sakher Khalil Alqaaidi, Elika Bozorgi, Afsaneh Shams, Krzysztof Kochut
10/29/2023
cs.CL

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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.

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Cite this paper

@article{alqaaidi2023fewshot,
  title  = {A Few-Shot Learning Focused Survey on Recent Named Entity Recognition and Relation Classification Methods},
  author = {Sakher Khalil Alqaaidi and Elika Bozorgi and Afsaneh Shams and Krzysztof Kochut},
  year   = {2023},
  eprint = {2310.19055},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2310.19055v2}
}

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