基于自然语言处理的旅游景区智能讲解系统研究
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TP391

基金项目:

国家自然科学基金资助项目(61771077);中央高校基本科研业务费专项基金(2019CDQYTX012)。


Intelligent tourism explanation system based on natural language processing
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    摘要:

    智慧旅游建设的目的是要用新一代信息技术提升旅游服务水平和改善游客旅游体验。针对现有的旅游景区电子讲解系统缺乏自然语言互动交流能力的问题,研究一种基于自然语言处理和本体知识检索技术的旅游景区智能讲解系统,以便旅游景区能为游客提供自然语音对话式的个性化智能讲解服务。笔者设计了系统的物理架构和逻辑架构,然后分析实现文本向量化处理、命名实体识别、对话策略管理和讲解知识检索等关键技术,最后通过开发、测试系统原型,验证了系统的可行性。

    Abstract:

    The goal of smart tourism construction is to improve tourism service and tourist experience by using the latest information technologies. To enable tourists to dialog with the electronic explanation system of scenic spots by natural voice, an intelligent tourism explanation system based on natural language processing and ontology knowledge retrieval was proposed in this study. Firstly, the physical view and logical view of the system architecture was designed. Secondly, the key technologies of text vector, named entity recognition, dialogue policy management and tourism knowledge retrieval were analyzed. Finally, a prototype was developed, verifying the feasibility of the system.

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刘文静,蔡章利,卢海.基于自然语言处理的旅游景区智能讲解系统研究[J].重庆大学学报,2022,45(7):70-78.

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  • 收稿日期:2020-06-12
  • 最后修改日期:2020-09-21
  • 在线发布日期: 2022-07-27
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