Method of and apparatus for recognizing and labeling instances of name classes in textual environments
US6052682A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | May 2, 1997 |
| Grant date | Apr 18, 2000 |
| Priority date | — |
| Expiry date | May 2, 2017 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S707/99936
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer assisted method for recognizing and labeling instances of name classes in textual environments is described. The invention receives training text having instances of named-entity classes labeled, from which it generates a database of bigram and unigram occurrences. The invention uses the database of bigram and unigram occurrences to form a two level Hidden Markov Model with single output states at the lower level. The invention also receives a series of input text to be processed and labeled with respect to the name classes, and the invention uses the two level Hidden Markov Model to recognize and label instances of named-entity classes in the input text.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.