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: University of Toronto
• 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
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=640133
• 关键词: Refactoring; Feature; Structure; based; Dialogue

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.

我们将与 iNAGO, Inc. 合作，探索在数据库上使用新的机器学习技术来创建汽车环境的对话系统。当今的人工智能研究人员正在努力寻找学习方法，以挖掘通过与人类交互可观察到的人类行为的潜在专业知识。对话系统是此类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。