网络安全与数据治理2023，Vol.42Issue(12)：20-26,7.DOI:10.19358/j.issn.2097-1788.2023.12.004
基于大模型的智能抄清:事件要点抽取与报告生成
Intelligent chaoqing based on large models:event key point extraction and report generation
曾文龙 1刘丹 2张超1
作者信息
- 1. 中国人民解放军31307部队,四川 成都 610000
- 2. 电子科技大学 电子科学技术研究院,四川 成都 610000
- 折叠
摘要
Abstract
With the advent of the era of information explosion,how to efficiently extract valuable information from massive intelli-gence 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 analy-sis.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.关键词
大模型/智能抄清/事件要点抽取/报告生成Key words
large models/intelligent chaoqing/event key point extraction/report generation分类
信息技术与安全科学引用本文复制引用
曾文龙,刘丹,张超..基于大模型的智能抄清:事件要点抽取与报告生成[J].网络安全与数据治理,2023,42(12):20-26,7.
