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首页> 外文会议>IEEE International Conference on Advanced Power System Automation and Protection >Application of Term Library Construction Based on Machine Learning and Statistical Method in Intelligent Power Grid Custom Service
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Application of Term Library Construction Based on Machine Learning and Statistical Method in Intelligent Power Grid Custom Service

机译：基于机器学习和统计方法的术语库构建在智能电网定制服务中的应用

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摘要

Intelligent power grid custom service, providing power supply and consumption information directly to users, is the intermediary of direct communication between the power grid and users. While there are two major barriers, technical terminology and regional dialect, to achieving information interaction between the power grid and users. In this paper, a term recognition method based on machine learning and statistical information is proposed to collect unregistered term components. Taking the advantage of both "conditional random field sequence labeling word segmentation algorithm" and "word-formation rules & improved mutual information & boundary entropy", this method indentifies terminology through the combination of correlated calculation and comprehensive evaluation. It is used to construct the intelligent power grid custom service term library, and ultimately to perform extraction experiments utilizing the power grid custom service work order, which lays the foundation for custom service artificial intelligence.
机译：智能电网定制服务是电网与用户直接通信的中介，它直接向用户提供电力供应和消耗信息。尽管在实现电网与用户之间的信息交互方面存在两个主要的障碍，即技术术语和区域方言。本文提出了一种基于机器学习和统计信息的术语识别方法，以收集未注册的术语成分。该方法既利用“条件随机场序列标记词分割算法”又利用“词形成规则和改进的互信息及边界熵”的优势，通过相关计算和综合评估相结合来识别术语。它用于构建智能电网定制服务术语库，并最终利用电网定制服务工作指令进行提取实验，从而为定制服务人工智能奠定了基础。

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