Applications of Explainable AI in Natural Language Processing
DOI:
https://doi.org/10.5281/zenodo.12684705Keywords:
Explainable AI, Natural Language Processing, Model Explanation, Credibility, Transparency, Model OptimizationAbstract
This paper investigates and discusses the applications of explainable AI in natural language processing. It first analyzes the importance and current state of AI in natural language processing, then focuses on the role and advantages of explainable AI technology in this field. It compares explainable AI with traditional AI from various angles and elucidates the unique value of explainable AI in natural language processing. On this basis, suggestions for further improvements and applications of explainable AI are proposed to advance the field of natural language processing. Finally, the potential prospects and challenges of explainable AI in natural language processing are summarized, and future research directions are envisaged. Through this study, a better understanding and application of explainable AI technology can be achieved, providing beneficial references for the development of the natural language processing field.
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Copyright (c) 2024 Qiming Xu, Zheng Feng, Chenwei Gong, Xubo Wu, Haopeng Zhao, Zhi Ye, Zichao Li, Changsong Wei (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
