David G Bean

US Patent:

7813916, Oct 12, 2010

Filed:

Nov 18, 2004

Appl. No.:

10/994196

Inventors:

David L. Bean - West Bountiful UT, US

Assignee:

University of Utah - Salt Lake City UT

International Classification:

G06F 17/27

US Classification:

704 9, 704 1, 704 10

Abstract:

Coreference resolution is the process of identifying when two noun phrases (NP) refer to the same entity. Two main contributions to computational coreference resolution are made. First, this work contributes a new method for recognizing when an NP is anaphoric. Second, traditional approaches to coreference resolution typically select the most appropriate antecedent by recognizing word similarity, proximity, and agreement in number, gender, and semantic class. This work contributes a new source of evidence that focuses on the roles that an anaphor and antecedent play in particular events or relationships. I show that using contextual role knowledge as part of the coreference resolution process increases the number of anaphors that can be resolved, and I demonstrate an unsupervised method for acquiring contextual role knowledge that does not require an annotated training corpus. A probabilistic model based on the Dempster-Shafer model of evidence is used to incorporate contextual role knowledge with traditional evidence sources.

US Patent:

20050108256, May 19, 2005

Filed:

Dec 5, 2003

Appl. No.:

10/729388

Inventors:

Todd Wakefield - Pack City UT, US
David Bean - West Bountiful UT, US

International Classification:

G06F007/00

US Classification:

707100000

Abstract:

Disclosed herein are systems, methods and products for interpreting and structuring free text records utilizing extractions of several types including syntactic, role, thematic and domain extractions. Also disclosed herein are systems, methods and products for integrating interpretive extractions with structured data into unified structures that can be analyzed with, among other tools, data mining and data visualization tools.