Research on cross-platform integration method based on natural language technology

Wei Zhuang

doi:10.1117/12.2635701

6 May 2022 Research on cross-platform integration method based on natural language technology

Wei Zhuang

Proceedings Volume 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022); 1225628 (2022) https://doi.org/10.1117/12.2635701
Event: 2022 International Conference on Electronic Information Engineering, Big Data and Computer Technology, 2022, Sanya, China

Abstract

With the gradual improvement of my country's informatization construction, people need more intelligent and accurate information retrieval and automatic question answering and other services in the field of artificial intelligence. In order to continuously improve the performance of the algorithm to provide more efficient and comfortable services, a large number of researchers have invested in the research of natural language processing.Text matching is the core and basic problem in the field of natural language processing. It has experienced from the early traditional text matching methods based on statistics to the deep text matching methods in recent years. This paper studies several popular deep learning text matching methods, including single-semantic text matching, multi-semantic text matching and attention mechanism text matching. On the basis of the currently widely used algorithms, a multi-channel matching pyramid model, a text matching model of cyclic attention mechanism and a model stacking integration algorithm of dynamic parameters are proposed, and the integration is realized by using natural language processing technology.

Citation Download Citation

Wei Zhuang "Research on cross-platform integration method based on natural language technology", Proc. SPIE 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022), 1225628 (6 May 2022); https://doi.org/10.1117/12.2635701

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