Self-learning automated information technology change risk prediction
US-2024414064-A1 · Dec 12, 2024 · US
Generating machine-understandable representations of content
US9633332B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9633332-B2 |
| Application number | US-83504410-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 13, 2010 |
| Priority date | Jul 13, 2010 |
| Publication date | Apr 25, 2017 |
| Grant date | Apr 25, 2017 |
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Abstract
Official abstract text for this publication.
An electronic document is accessed. A structural definition that defines a structural convention according to which information within the electronic document is arranged also is accessed. Based on the accessed structural definition, at least some of the information is extracted from the electronic document. A machine-understandable representation of the extracted information then is generated.
First claim
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What is claimed is: 1. A computer-implemented method comprising: receiving a natural language electronic document; determining that the received natural language electronic document is a specific type of natural language electronic document; identifying, from among multiple different frameworks that specify corresponding structural conventions according to which natural language electronic documents are arranged, a specific framework as specifying a structural convention for t…
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Frequently asked questions
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- What does patent US9633332B2 cover?
- An electronic document is accessed. A structural definition that defines a structural convention according to which information within the electronic document is arranged also is accessed. Based on the accessed structural definition, at least some of the information is extracted from the electronic document. A machine-understandable representation of the extracted information then is generated.
- Who is the assignee on this patent?
- Graupner Sven, Nezhad Hamid Reza Motahari, Basu Sujoy, and 1 more
- What technology area does this patent fall under?
- Primary CPC classification G06Q10/10. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Apr 25 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).