Research and implementation of title generation for news text

Jiaze Li; Yuxin Tang; Xinyu Lin

doi:10.1117/12.3009458

16 October 2023 Research and implementation of title generation for news text

Jiaze Li, Yuxin Tang, Xinyu Lin

Proceedings Volume 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023); 1280326 (2023) https://doi.org/10.1117/12.3009458
Event: 2023 5th International Conference on Artificial Intelligence and Computer Science (AICS 2023), 2023, Wuhan, China

Abstract

This paper explores the natural language processing technology of news text, especially the algorithm and application of title generation and abstraction. Based on the analysis of the existing principle of automatic title generation and abstraction, the data sets are preprocessed by text cleaning and word quantization according to the objective and accurate features of news text. Then, the Roberta, GPT-2, and T5-pegasus models were evaluated, and the method of model fusion and integration based on the principle of accuracy priority was proposed to improve the accuracy of title generation by 3%. Finally, the news text processing system is constructed based on the optimized model. Experimental results show that the proposed algorithm has high reliability and robustness. This topic has been applied, and the application shows that the results of the news text processing system are accurate and objective, and have high adaptability.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiaze Li, Yuxin Tang, and Xinyu Lin "Research and implementation of title generation for news text", Proc. SPIE 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023), 1280326 (16 October 2023); https://doi.org/10.1117/12.3009458

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