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Authors: Mst Shapna Akter 1 ; Md Fahim Sultan 1 and Alfredo Cuzzocrea 2 ; 3

Affiliations: 1 Department of Computer Science and Engineering, Oakland University, Rochester, MI 48309, U.S.A. ; 2 Dept. of Computer Science, University of Paris City, Paris, France ; 3 iDEA Lab, University of Calabria, Rende, Italy

Keyword(s): Natural Language Processing, Neuro-Symbolic Techniques, Reasoning, Interpretability.

Abstract: Neuro-Symbolic (NeSy) techniques in Natural Language Processing (NLP) combine the strengths of neural network-based learning with the clear interpretability of symbolic methods. This review paper explores recent advancements in neurosymbolic NLP methods. We carefully highlight the benefits and drawbacks of different approaches in various NLP tasks. Additionally, we support our evaluations with explanations based on theory and real-world evidence. Based on our review, we suggest several potential research directions. Our study contributes in three main ways: (1) We present a detailed, complete taxonomy for the Neuro-Symbolic methods in the NLP field; (2) We provide theoretical insights and comparative analysis of the Neuro-Symbolic methods; (3) We propose future research directions to explore.

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Paper citation in several formats:
Akter, M. S., Sultan, M. F., Cuzzocrea and A. (2025). Neuro-Symbolic Methods in Natural Language Processing: A Review. In Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA; ISBN 978-989-758-758-0; ISSN 2184-285X, SciTePress, pages 274-282. DOI: 10.5220/0013453100003967

@conference{data25,
author={Mst Shapna Akter and Md Fahim Sultan and Alfredo Cuzzocrea},
title={Neuro-Symbolic Methods in Natural Language Processing: A Review},
booktitle={Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA},
year={2025},
pages={274-282},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013453100003967},
isbn={978-989-758-758-0},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA
TI - Neuro-Symbolic Methods in Natural Language Processing: A Review
SN - 978-989-758-758-0
IS - 2184-285X
AU - Akter, M.
AU - Sultan, M.
AU - Cuzzocrea, A.
PY - 2025
SP - 274
EP - 282
DO - 10.5220/0013453100003967
PB - SciTePress

- Science and Technology Publications, Lda.
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