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.
Patent No.:
Date of Patent:
Feb. 11, 2014
Filed:
Jul. 25, 2003
Francine R. Chen, Menlo Park, CA (US);
Ayman O. Farahat, San Francisco, CA (US);
Thorsten H. Brants, Palo Alto, CA (US);
Francine R. Chen, Menlo Park, CA (US);
Ayman O. Farahat, San Francisco, CA (US);
Thorsten H. Brants, Palo Alto, CA (US);
Palo Alto Research Center Incorporated, Palo Alto, CA (US);
Abstract
Techniques for training and using linked event detection systems and transforming source-identified stopwords are provided. A training corpus of source identified stories and a reference language is determined. Optionally, stopwords for source-identified stories are transformed based on statistical analysis of parallel verified and un-verified transformations. Reference language and non-reference language terms are selectively included in source-pair term frequency-inverse story frequency models. Optionally, incremental source-identified term frequency-inverse story frequency models are determined. Selected terms are weighted and similarity metrics determined. Associated source-pair statistics, computed in part from a training corpus, are combined with the values of each similarity metric in the set of similarity metrics to form a similarity vector. Similarity vectors and verified link label information are used to determine a predictive model. Similarity vectors for story pairs are used with the predictive model to determine if the story-pairs are linked. Sources are arranged based on source inter-relationships into a source-hierarchy. Progressively more refined source-pair similarity statistics are also provided. New sources and associated source-pair similarity statistics are added by substituting related source-pair similarity statistics based on the source hierarchy and source characteristics. The source-pair similarity statistics are used to optionally normalize the similarity metrics.