Systems and methods for building asset based natural language call routing application with limited resources

作者: David Lubensky , Osamuyimen Thompson Stewart , Xiang Li , Ea-Ee Jan

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摘要: A method of processing limited natural language data to automatically develop an optimal feature set, bypassing the standard Wizard OZ (WOZ) approach. Natural understanding models process existing from other domains, such as Internet, for domain-specific adaptation through use set. When set is passed on any engine, produces robust that can be used call routing.

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