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Microsoft patents system to find answers in long documents

Microsoft describes a system that breaks large documents into smaller sections to answer questions. It scores each section for relevance and then analyzes only the top-ranked parts to find the final answer.

Why it mattersThis approach could help users quickly find specific information in lengthy reports or manuals without reading every page.

In the filing’s own words

A machine reading comprehension system (MRCS) can analyze a larger-sized document that includes multiple pages to predict an answer to a query. For example, the document can have two, five, tens, or hundreds of pages. The MRCS divides the document into multiple sections with each section including a portion of the document. Each section is processed separately by one or more processing circuitries to determine a score for that section. The score indicates how related the section is to the query and/or a probability that the section provides a possible answer to the query. Once all of the sections have been analyzed, the sections are ranked by their scores and a subset of the ranked sections are processed again to determine a predicted answer to the query.

What exactly they claim (claim 1)

1 - 20. (canceled)

Facts

Company
Microsoft (Microsoft Technology Licensing, LLC)
Official title
MACHINE READING COMPREHENSION SYSTEM FOR ANSWERING QUERIES RELATED TO A DOCUMENT
Publication number
US20260259884A1
Application number
19432781
Filed
Dec 24, 2025
Published
Sep 3, 2026
Inventors
5
Claims
21

Classified under

G06F 16/24578 Physics & computingG06F 16/3329 Physics & computingG06F 16/93 Physics & computingG06F 16/951 Physics & computingG06F 40/205 Physics & computingG06F 40/258 Physics & computing

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.