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Refactoring Feature-Structure-based Dialogue Systems: Software Engineering Meets Spoken Language Processing

Refactoring Feature-Structure-based Dialogue Systems: Software Engineering Meets Spoken Language Processing
重构基于特征结构的对话系统:软件工程与口语处理的结合
批准号:
518202-2017
负责人:
Penn, Gerald
金额:
$1.8万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

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中文摘要
翻译
我们将与iNAGO公司合作,探索在数据库上使用新的机器学习技术,为汽车环境创建一个对话系统。如今,人工智能研究人员正在努力寻找学习方法,挖掘人类行为中潜在的专业知识,通过与人类互动可以观察到这些行为。对话系统是这种学习未来成功的关键因素,因为它提供了通过语言与人类互动的机会。
英文摘要
We will work with iNAGO, Inc. to explore the use of a new machine learning technique over databases tocreate a dialogue system for the automotive environment.Artificial intelligence researchers today are scrambling to find learning approaches that tap the latent expertisein human behaviour that is observable by interacting with them. Dialogue systems are a key ingredient to the future success of this kind of learning because of the opportunity it affords to interact with humans through language.
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