Summary generation system

A summary generation system comprising:

• a memory;
• and
• one or more processors configured to perform processing, the processing comprising:
• accessing reference information to be used for generating a summary for content to be summarized, wherein the reference information includes a set of original questions and a set of variant questions, the set of variant questions comprising multiple variant questions for each original question in the set of original questions;
• creating a plurality of chunks based upon the content to be summarized;
• generating an answer for each variant question in the set of variant questions, wherein an answer for a variant question is generated based upon one or more chunks from the plurality of chunks;
• generating an answer for each original question in the set of original questions based upon the answers generated for the one or more variant questions corresponding to the set of original questions;
• selecting a set of answers from the answers generated for the set of original questions;
• and
• generating using a first Machine Language (ML) model and the selected set of answers for the set of original questions, a summary for the content to be summarized.

One or more non-transitory computer-readable media storing instructions executable by a computer system that, when executed by one or more processors of the computer system, cause the computer system to perform operations comprising:

• accessing reference information to be used for generating a summary for content to be summarized, wherein the reference information includes a set of original questions and a set of variant questions, the set of variant questions comprising multiple variant questions for each original question in the set of original questions;
• creating a plurality of chunks based upon the content to be summarized;
• generating an answer for each variant question in the set of variant questions, wherein an answer for a variant question is generated based upon one or more chunks from the plurality of chunks;
• generating an answer for each original question in the set of original questions based upon the answers generated for the one or more variant questions corresponding to the set of original questions;
• selecting a set of answers from the answers generated for the set of original questions;
• and
• generating using a first Machine Language (ML) model and the selected set of answers for the set of original questions, a summary for the content to be summarized.