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Authors: Sakher Alqaaidi ; Elika Bozorgi ; Afsaneh Shams and Krzysztof Kochut

Affiliation: School of Computing, University of Georgia, Athens, Georgia, U.S.A.

Keyword(s): Named Entity Recognition, Relation Classification, Natural Language Processing, Information Extraction.

Abstract: Named Entity Recognition (NER) and Relation Classification (RC) are important tasks for extracting information from unstructured text and transforming it into a machine-readable format. Recently, the field of few-shot learning has gained increased interest due to its ability to enable models to generalize across multiple domains using minimal labeled data. However, no studies have addressed the recent achievements in the NER and RC fields within the few-shot learning paradigm. In this work, we aim to fill this gap by presenting a survey on recent few-shot learning models in the fields of NER and RC. Our survey provides a thorough introduction to these tasks, along with a summary of the latest approaches and achievements. We conclude with our observations on the current state of research in these domains.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Alqaaidi, S., Bozorgi, E., Shams, A. and Kochut, K. (2024). A Few-Shot Learning-Focused Survey on Recent Named Entity Recognition and Relation Classification Models. In Proceedings of the 13th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-707-8; ISSN 2184-285X, SciTePress, pages 450-459. DOI: 10.5220/0012791600003756

@conference{data24,
author={Sakher Alqaaidi and Elika Bozorgi and Afsaneh Shams and Krzysztof Kochut},
title={A Few-Shot Learning-Focused Survey on Recent Named Entity Recognition and Relation Classification Models},
booktitle={Proceedings of the 13th International Conference on Data Science, Technology and Applications - DATA},
year={2024},
pages={450-459},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012791600003756},
isbn={978-989-758-707-8},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Data Science, Technology and Applications - DATA
TI - A Few-Shot Learning-Focused Survey on Recent Named Entity Recognition and Relation Classification Models
SN - 978-989-758-707-8
IS - 2184-285X
AU - Alqaaidi, S.
AU - Bozorgi, E.
AU - Shams, A.
AU - Kochut, K.
PY - 2024
SP - 450
EP - 459
DO - 10.5220/0012791600003756
PB - SciTePress

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