• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International conference on neuroinformatics >The Text Fragment Extraction Module of the Hybrid Intelligent Information System for Analysis of Judicial Practice of Arbitration Courts
【24h】

The Text Fragment Extraction Module of the Hybrid Intelligent Information System for Analysis of Judicial Practice of Arbitration Courts

机译：混合智能信息系统文本碎片提取模块，用于分析仲裁法院的司法实践

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The architecture of a hybrid intelligent information system for the analysis of the judicial practice of arbitration courts is discussed. The structure of the subsystems of consciousness and subconsciousness in the architecture of the proposed system is considered in detail. The text fragments extraction module plays a crucial role in the subconsciousness subsystem of the proposed system. The principles of operation of the text fragment extraction module are examined in detail. The architecture of a deep neural network, which is the basis of the module, is proposed. The aspects of the training of the proposed deep neural network are considered. Variants of text vectorization based on the tf-idf and fasttext approaches are investigated; vectorized texts are input data for the proposed neural network. Experiments were conducted to determine the quality metrics for the proposed vectorization options. The experimental results show that the vectorization option based on tf-idf is superior to the combined vectorization option based on tf-idf and fasttext. The developed text fragments extraction module makes it possible to implement the proposed system successfully.
机译：讨论了分析仲裁法院司法实践的混合智能信息系统的结构。详细考虑了所提出的系统的架构中的意识和潜意识的子系统的结构。文本片段提取模块在所提出的系统的潜意识子系统中起着至关重要的作用。详细检查了文本碎片提取模块的操作原理。提出了一个是模块基础的深神经网络的体系结构。考虑了拟议的深神经网络培训的方面。研究了基于TF-IDF和FastText方法的文本矢量化的变体;矢量化文本是所提出的神经网络的输入数据。进行实验以确定所提出的矢量化选项的质量指标。实验结果表明，基于TF-IDF的矢量化选项优于基于TF-IDF和FastText的组合矢量化选项。开发的文本片段提取模块可以成功实现所提出的系统。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号