Challenges and Application Models of Natural Language Processing

Weiqi Huang

2025

Abstract

With the development of artificial intelligence, natural language processing has become an important research field of human-computer interaction, and its importance has become increasingly prominent. This paper outlines three major challenges facing natural language processing today: First, there are a large number of ambiguous words in natural language; Second, natural language processing is highly dependent on contextual information. Third, differences between different languages introduce additional complexity to processing. By sorting out the challenges faced, it provides new ideas for the future research direction. Next, it introduces the classification of natural language applications (natural language understanding and text generation) and the actual realistic scenarios applied to it, reflecting the application of natural language processing in silence to help and affect people's lives. Finally, the paper discusses three major models (Transformer model, Bert model, GPT model) which play an indispensable role in promoting the progress of natural language processing technology. These models show excellent processing power in a multitude of natural language tasks.

Paper Citation

in Harvard Style

Huang W. (2025). Challenges and Application Models of Natural Language Processing. In Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-765-8, SciTePress, pages 673-678. DOI: 10.5220/0013704100004670

in Bibtex Style

@conference{icdse25,
author={Weiqi Huang},
title={Challenges and Application Models of Natural Language Processing},
booktitle={Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2025},
pages={673-678},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013704100004670},
isbn={978-989-758-765-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Challenges and Application Models of Natural Language Processing
SN - 978-989-758-765-8
AU - Huang W.
PY - 2025
SP - 673
EP - 678
DO - 10.5220/0013704100004670
PB - SciTePress