Timothy Jayson Travers

US Patent:

7580939, Aug 25, 2009

Filed:

Aug 30, 2005

Appl. No.:

11/215715

Inventors:

Khalid Al-Kofahi - Webster NY, US
Peter Jackson - Burnsville MN, US
Timothy Earl Travers - Rochester NY, US
Alex Tyrell - Canandaigua NY, US

Assignee:

Thomson Reuters Global Resources - Zug

International Classification:

G06F 17/00

US Classification:

707101, 715256

Abstract:

To reduce cost and improve accuracy, the inventors devised systems, methods, and software to aid classification of text, such as headnotes and other documents, to target classes in a target classification system. For example, one system computes composite scores based on: similarity of input text to text assigned to each of the target classes; similarity of non-target classes assigned to the input text and target classes; probability of a target class given a set of one or more non-target classes assigned to the input text; and/or probability of the input text given text assigned to the target classes. The exemplary system then evaluates the composite scores using class-specific decision criteria, such as thresholds, ultimately assigning or recommending assignment of the input text to one or more of the target classes. The exemplary system is particularly suitable for classification systems having thousands of classes.

US Patent:

20030101181, May 29, 2003

Filed:

Dec 21, 2001

Appl. No.:

10/027914

Inventors:

Khalid Al-Kofahi - Webster NY, US
Peter Jackson - Burnsville MN, US
Timothy Travers - Rochester NY, US
Alex Tyrell - Canandaigua NY, US

International Classification:

G06F007/00

US Classification:

707/007000

Abstract:

To reduce cost and improve accuracy, the inventors devised systems, methods, and software to aid classification of text, such as headnotes and other documents, to target classes in a target classification system. For example, one system computes composite scores based on: similarity of input text to text assigned to each of the target classes; similarity of non-target classes assigned to the input text and target classes; probability of a target class given a set of one or more non-target classes assigned to the input text; and/or probability of the input text given text assigned to the target classes. The exemplary system then evaluates the composite scores using class-specific decision criteria, such as thresholds, ultimately assigning or recommending assignment of the input text to one or more of the target classes. The exemplary system is particularly suitable for classification systems having thousands of classes.

US Patent:

20100114911, May 6, 2010

Filed:

Aug 21, 2009

Appl. No.:

12/545642

Inventors:

Khalid Al-Kofahi - Rosemount MN, US
Peter Jackson - Burnsville MN, US
Timothy Earl Travers - Rochester NY, US
Alex Tyrell - Rochester NY, US

International Classification:

G06F 17/30

US Classification:

707748, 715256, 707E17046

Abstract:

To reduce cost and improve accuracy, the inventors devised systems, methods, and software to aid classification of text, such as headnotes and other documents, to target classes in a target classification system. For example, one system computes composite scores based on: similarity of input text to text assigned to each of the target classes; similarity of non-target classes assigned to the input text and target classes; probability of a target class given a set of one or more non-target classes assigned to the input text; and/or probability of the input text given text assigned to the target classes. The exemplary system then evaluates the composite scores using class-specific decision criteria, such as thresholds, ultimately assigning or recommending assignment of the input text to one or more of the target classes. The exemplary system is particularly suitable for classification systems having thousands of classes.