The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 15, 2010

Filed:

Mar. 17, 2006
Applicants:

Abhinav Sethy, Los Angeles, CA (US);

Panayiotis Georgiou, La Crescenta, CA (US);

Shrikanth Narayanan, Santa Monica, CA (US);

Inventors:

Abhinav Sethy, Los Angeles, CA (US);

Panayiotis Georgiou, La Crescenta, CA (US);

Shrikanth Narayanan, Santa Monica, CA (US);

Assignee:

University of Southern California, Los Angeles, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06F 17/28 (2006.01); G06F 17/30 (2006.01); G10L 15/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

Forming and/or improving a language model based on data from a large collection of documents, such as web data. The collection of documents is queried using queries that are formed from the language model. The language model is subsequently improved using the information thus obtained. The improvement is used to improve the query. As data is received from the collection of documents, it is compared to a rejection model, that models what rejected documents typically look like. Any document that meets the test is then rejected. The documents that remain are characterized to determine whether they add information to the language model, whether they are relevant, and whether they should be independently rejected. Rejected documents are used to update the rejection model; accepted documents are used to update the language model. Each iteration improves the language model, and the documents may be analyzed again using the improved language model.


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