A Few-Shot Learning Focused Survey on Recent Named Entity Recognition and Relation Classification Methods
Computation and Language
2024-03-28 v2
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.
Cite
@article{arxiv.2310.19055,
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},
journal= {arXiv preprint arXiv:2310.19055},
year = {2024}
}