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Research on Knowledge Driven Intelligent Question Answering System for Electric Power Customer Service

机译:知识驱动智能问题回答系统电力客户服务

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The electric power customer service domain-specific knowledge graph aims to describe the concepts, entities, events and their relationships in the electric power customer service business field, with a structured manner, and provide a more effective data organization, management, and cognitive ability for the customer service business. This paper proposes a method for constructing a knowledge graph in the field of electric customer service, and constructs a knowledge graph with over 15,000 entities and 20,000 relationships. Based on the knowledge graph, an intelligent question answering application architecture is designed, which consists of multiple functional modules such as dialogue process configuration, natural language processing, and business process processing. It provides more efficient and open knowledge retrieval services for the electric customer service business, and improves the intelligence level of customer service question answering.
机译:特定于电力客户服务域的知识图表旨在描述电力客户服务业务领域的概念,实体,事件及其关系,具有结构化方式,并提供更有效的数据组织,管理和认知能力 客户服务业务。 本文提出了一种在电力客户服务领域构建知识图的方法,并构建具有超过15,000个实体和20,000个关系的知识图。 基于知识图形,设计了一个智能问题的智能问题,它由多个功能模块组成,例如对话过程配置,自然语言处理和业务流程处理。 它为电力客户服务业务提供更高效和开放的知识检索服务,并提高了客户服务问题的智能水平。

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