A novel text generation algorithm based on few-shot dataset

Heping Peng; Zhong Xu; Wenxiong Mo; Yong Wang; Qingdan Huang

doi:10.1117/12.2659970

30 November 2022 A novel text generation algorithm based on few-shot dataset

Heping Peng, Zhong Xu, Wenxiong Mo, Yong Wang, Qingdan Huang

Proceedings Volume 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022); 1245608 (2022) https://doi.org/10.1117/12.2659970
Event: International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 2022, Qingdao, China

Abstract

The current text generation generally requires understanding the contextual derivation of corpus based on a large amount of data. In fact, it is very difficult because of the limited data. We develop a novel text generation algorithm based on few-shot learning data which uses a dual-channel decoder and can smoothly perform copying and generating for the predicted words. Experimental results show that this proposed algorithm’s efficiency.

Citation Download Citation

Heping Peng, Zhong Xu, Wenxiong Mo, Yong Wang, and Qingdan Huang "A novel text generation algorithm based on few-shot dataset", Proc. SPIE 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 1245608 (30 November 2022); https://doi.org/10.1117/12.2659970

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