Shawn C Rush

US Patent:

20100031141, Feb 4, 2010

Filed:

Aug 10, 2009

Appl. No.:

12/538343

Inventors:

Nathan Summers - Springfield VA, US
Shawn Rush - Arlington VA, US
James Andreassi - Silver Spring MD, US

Assignee:

CompSci Resources, LLC - Alexandria VA

International Classification:

G06F 17/00

US Classification:

715239

Abstract:

An interactive interface facilitates the conversion of unstructured documents into XML-compliant documents. A document is parsed to identify fact items in the content of the document. A classifier associates initial labels with an identified fact items, and the fact items and associated initial labels are forwarded to a user for review and correction. An interface executing on a client computer presents the initial labels associated with fact items, and enables a user to correct the labels associated with the identified fact items. Upon receipt of corrected labels from the user, the classifier is trained to update probable associations of labels and fact items in accordance with the corrected labels. The interface enables the user to enter new labels and/or concepts for a taxonomy, and an extension to the taxonomy is automatically generated.

US Patent:

20090300482, Dec 3, 2009

Filed:

Jun 3, 2009

Appl. No.:

12/477789

Inventors:

Nathan Summers - Springfield VA, US
Shawn Rush - Arlington VA, US
James Andreassi - Silver Spring MD, US

Assignee:

CompSci Resources, LLC - Alexandria VA

International Classification:

G06F 17/00

US Classification:

715234

Abstract:

An interactive interface facilitates the conversion of unstructured documents into XML-compliant documents. A document is parsed to identify fact items in the content of the document. A classifier associates initial labels with an identified fact items, and the fact items and associated initial labels are forwarded to a user for review and correction. An interface executing on a client computer presents the initial labels associated with fact items, and enables a user to correct the labels associated with the identified fact items. Upon receipt of corrected labels from the user, the classifier is trained to update probable associations of labels and fact items in accordance with the corrected labels.