首页> 外文会议>International conference on artificial intelligence >Graph Logic Model Framework for Predictive Linguistic Analysis
【24h】

Graph Logic Model Framework for Predictive Linguistic Analysis

机译:用于预测语言分析的图逻辑模型框架

获取原文

摘要

In this paper we are trying to combine interests of authors and collaborators into one non-mutually exclusive concept and logic flow aiming to create a framework for searching of a migration of words from one cluster to another; this enables us to define a semantic shift well before it become obvious. We show how introduced graph-logic model can be applied for analysis of migration of the meaning of sentences indicating, quite often, a paradigm shifts. Using Artificial Intelligence as an example we illustrate development of AI from philosophy of mind to science, science fiction and technology, including games in science, technology, and further education. Several examples how proposed model with supportive searching framework applied in mentioned areas detecting evolving processes are presented.
机译:在本文中,我们试图将作者和合作者的兴趣结合到一个互不排斥的概念和逻辑流程中,旨在创建一个框架来搜索单词从一个聚类到另一个聚类的迁移。这使我们能够在语义转换变得明显之前就对其进行定义。我们展示了引入的图逻辑模型如何可用于分析句子含义的迁移,这些句子通常指示范式转换。以人工智能为例,我们说明了人工智能从思维哲学到科学,科幻小说和技术的发展,包括科学,技术和继续教育中的游戏。给出了如何在支持区域搜索中检测演化过程的支持搜索框架下提出的模型的几个例子。

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