Intelligent chaoqing based on large models: event key point extraction and report generation
Zeng Wenlong1，Liu Dan2,，Zhang Chao1
1 Unit 31307 of the Chinese People′s Liberation Army,Chengdu 610000,China; 2 Institute of Electronic Science and Technology, University of Electronic Science and Technology of China, Chengdu 610000, China
Abstract： With the advent of the era of information explosion, how to efficiently extract valuable information from massive intelligence by means of chaoqing and generate accurate chaoqing reports has become an important challenge in the field of intelligence analysis and reasoning. The traditional manual chaoqing method is difficult to deal with the huge amount of data and high diversity of intelligence data, so it is necessary to use natural language technology to improve the efficiency and accuracy of chaoqing analysis. This paper proposes an intelligent chaoqing method based on a large model, which aims to extract and generate reports through event extraction. This method first uses natural language processing technology to analyze the chaoqing data, and extracts key points of document events in combination with grammatical and semantic information. Based on the generative capabilities of large models, comprehensive chaoqing reports with rich transcripts is generated.
Key words : large models; intelligent chaoqing; event key point extraction; report generation
