Hallucination Detection
US-2024394600-A1 · Nov 28, 2024 · US
US8935153B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8935153-B2 |
| Application number | US-201213432405-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 28, 2012 |
| Priority date | Mar 28, 2012 |
| Publication date | Jan 13, 2015 |
| Grant date | Jan 13, 2015 |
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A natural language incident report resolution method and system are provided. Natural language incident reports received from a user are analyzed to determine a category associated with the incident. A database of existing incidents is analyzed to determine whether a report for the incident has already been submitted. The current status or state of the device associated with the incident is then ascertained and the incident, if new, is added to an incident database. If the incident is preexisting, the incident in the database is updated with the current status. A solution database is then queried to determine any solutions, automatic or manual workflows, that may correct the error or fault associated with the incident. The determined solution is communicated to the device associated with the incident for implementation.
Opening claim text (preview).
What is claimed is: 1. A method for resolving natural language incident reports, comprising: with a processor, receiving a user submitted natural language incident report corresponding to a natural language description of an incident associated with a multifunction device; analyzing the user submitted natural language incident report so as to determine a category associated with the incident described therein; comparing the received natural language incident report to unresolv…
Physics · mapped topic
Physics · mapped topic
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