Applications of Explainable AI in Natural Language Processing

Authors

  • Qiming Xu Northeastern University, USA Author
  • Zheng Feng Northeastern University, USA Author
  • Chenwei Gong University of California, USA Author
  • Xubo Wu Independent Researcher, USA Author
  • Haopeng Zhao New York University, USA Author
  • Zhi Ye Elevance Health, USA Author
  • Zichao Li Canoakbit Alliance Inc, Canada Author
  • Changsong Wei Digital Financial Information Technology Co. LTD, China Author

DOI:

https://doi.org/10.5281/zenodo.12684705

Keywords:

Explainable AI, Natural Language Processing, Model Explanation, Credibility, Transparency, Model Optimization

Abstract

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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References

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Published

2024-07-08

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Section

Articles

How to Cite

Xu, Q., Feng, Z., Gong, C., Wu, X., Zhao, H., Ye, Z., Li, Z., & Wei, C. (2024). Applications of Explainable AI in Natural Language Processing. Global Academic Frontiers, 2(3), 51-64. https://doi.org/10.5281/zenodo.12684705