Method and apparatus for selecting links to include in a probabilistic generative model for text
US8180725B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 21, 2008 |
| Grant date | May 15, 2012 |
| Priority date | — |
| Expiry date | Nov 16, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/253
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Some embodiments of the present invention provide a system that selects links while updating a probabilistic generative model for textual documents. During operation, the system receives a current model, which contains terminal nodes representing words and cluster nodes representing clusters of conceptually related words, wherein nodes in the current model are coupled together by weighted links, wherein if a node fires, a link from the node to another node is activated and causes the other node to fire with a probability proportionate to the weight of the link. Next, the system applies a set of training documents containing words to the current model to produce a new model. While doing so, the system: determines expected counts for activations of links and prospective links; determines link-ratings for the links and the prospective links based on the expected counts, and selects links to be included in the new model based on the determined link-ratings. Finally, the system makes the new model the current model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.