Method for transforming data elements within a classification system based in part on input from a human annotator/expert
US7756800B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Dec 14, 2006 |
| Grant date | Jul 13, 2010 |
| Priority date | — |
| Expiry date | Oct 17, 2028 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system are provided for classifying data items such as a document based upon identification of element instances within the data item. A training set of classes is provided where each class is associated with one or more features indicative of accurate identification of an element instance within the data item. Upon the identification of the data item with the training set, a confidence factor is computed that the selected element instance is accurately identified. When a selected element instance has a low confidence factor, the associated features for the predicted class are changed by an annotator/expert so that the changed class definition of the new associated feature provides a higher confidence factor of accurate identification of element instances within the data item.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.