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:
Nov. 15, 2016
Filed:
Dec. 09, 2015
Robert J. Munro, San Franciso, CA (US);
Schuyler D. Erle, San Francisco, CA (US);
Tyler J. Schnoebelen, San Francisco, CA (US);
Jason Brenier, Oakland, CA (US);
Jessica D. Long, San Francisco, CA (US);
Brendan D. Callahan, Philadelphia, PA (US);
Paul A. Tepper, San Francisco, CA (US);
Edgar Nunez, Union City, CA (US);
Robert J. Munro, San Franciso, CA (US);
Schuyler D. Erle, San Francisco, CA (US);
Tyler J. Schnoebelen, San Francisco, CA (US);
Jason Brenier, Oakland, CA (US);
Jessica D. Long, San Francisco, CA (US);
Brendan D. Callahan, Philadelphia, PA (US);
Paul A. Tepper, San Francisco, CA (US);
Edgar Nunez, Union City, CA (US);
Idibon, Inc., San Francisco, CA (US);
Abstract
Systems and methods are presented for the automatic placement of rules applied to topics in a logical hierarchy when conducting natural language processing. In some embodiments, a method includes: accessing, at a child node in a logical hierarchy, at least one rule associated with the child node; identifying a percolation criterion associated with a parent node to the child node, said percolation criterion indicating that the at least one rule associated with the child node is to be associated also with the parent node; associating the at least one rule with the parent node such that the at least one rule defines a second factor for determining whether the document is to also be classified into the parent node; accessing the document for natural language processing; and determining whether the document is to be classified into the parent node or the child node based on the at least one rule.