Sri International

Stephanie Nunn

Ajay Divakaran

Karan Sikka

Yi Yao

Jesse Hostetler

Michael A Cogswell

Yunye Gong

Sara Rutherford-quach

Pritish Sahu

A method, apparatus and system for training an embedding space for content comprehension and response includes, for each layer of a hierarchical taxonomy having at least two layers including respective words resulting in layers of varying complexity, determining a set of words associated with a layer of the hierarchical taxonomy, determining a question answer pair based on a question generated using at least one word of the set of words and at least one content domain, determining a vector representation for the generated question and for content related to the at least one content domain of the question answer pair, and embedding the question vector representation and the content vector representations into a common embedding space where vector representations that are related, are closer in the embedding space than unrelated embedded vector representations. Requests for content can then be fulfilled using the trained, common embedding space.

System and method for content comprehension and response

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Hopkins, MN, United States of America

Stephanie Nunn