UniOntBot:基于语义自然语言生成的聊天机器人通信API方法

Lakindu Gunasekara, Kaneeka. Vidanage
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引用次数: 8

摘要

自然语言生成是自然语言处理的一个子任务,其中机器以人类可理解的语言表示文本。尽管自20世纪70年代以来对自然语言生成进行了各种研究,但与面向语言表面的结构相比,使用语义技术进行的工作很少。本文介绍了将语义技术与自然语言生成相结合的现有工作,并指出了这种系统的机会和缺点。研究了如何以更低的计算成本在聊天机器人中使用语义自然语言生成,以及如何在相似的领域中重用语义自然语言生成,而在小规模层次的领域中对自然语言生成组件进行较少的编码。此外,研究人员还提出了一种基于本体的聊天机器人新架构和一种基于自然语言资源绑定的领域本体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UniOntBot: Semantic Natural Language Generation based API approach for Chatbot Communication
Natural Language Generation is a sub task of the natural language processing where the machine represents texts in human understandable language. Although there have been various researches carried out for Natural Language Generation since the 1970s, there are only few available work carried out with semantic technologies compared to linguistic surface oriented structures. This paper presents the available work which combine semantic technologies with Natural Language Generation, and it identifies opportunities and drawbacks of such systems. The research is carried out on how to use semantic natural language generation with chatbots with lower computational cost and on the ability to reuse it for similar domains with less coding on natural language generation component for small scale level domains. Additionally, a new architecture for chatbot using an ontology and a new domain ontology with natural language resource bind are contributed by the researchers.
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