Patent ID: 11934793
Assignee: SRI INTERNATIONAL
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for training an embedding space for content comprehension and response, comprising:
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 to which the question is applied;
determining a vector representation for the generated question answer pair and for content related to the at least one content domain of the question answer pair; and
embedding the vector representation determined for the generated question answer pair and the vector representations generated for the content related to the content domain into a common embedding space such that embedded vector representations for generated question answer pairs and embedded vector representations for content related to the content domain that are related, are closer together in the common embedding space than unrelated embedded vector representations;

wherein the common embedding space comprises embedded question answer pairs for each of the at least two layers of the hierarchical taxonomy, such that a relationship between embedded question answer pairs of varying complexity can be determined.