Sarah G Lynch

US Patent:

20190266281, Aug 29, 2019

Filed:

Feb 26, 2018

Appl. No.:

15/904652

Inventors:

- Armonk NY, US
Sihang B. Fang - Glendale CA, US
Sarah Lynch - Austin TX, US
Rahul P. Akolkar - Austin TX, US
Brian E. Bissell - Fairfield CT, US
Manali J. Chanchlani - Jersey City NJ, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 17/30
G06F 17/27
G06F 17/21

Abstract:

A system, computer program product, and method are provided to leverage a taxonomy service to format ground truth data. An artificial intelligence platform processes ground truth data, including identification of one or more applicable taxonomy tags. The identified tags are filtered and applied to the ground truth data, thereby constructing an output string that incorporates the ground truth data together with one or more of the identified tags, effectively transforming the ground truth data. Application of the transformed ground truth data is employed to accurately identify the source and/or meaning of the natural language, and in one embodiment, to product a physical action or transformation of a physical hardware device.

US Patent:

20190236409, Aug 1, 2019

Filed:

Jan 30, 2018

Appl. No.:

15/884204

Inventors:

- Armonk NY, US
Sihang B. Fang - Glendale CA, US
Manali Jairam Chanchlani - Jersey City NJ, US
Rahul P. Akolkar - Austin TX, US
Sarah Lynch - Austin TX, US
Kristi Farinelli - Philadelphia PA, US

International Classification:

G06K 9/62
G06F 17/27
G06F 15/18

Abstract:

A computer-implemented method according to one embodiment includes identifying a first classifier training data element and a second classifier training data element, calculating a similarity metric between the first classifier training data element and the second classifier training data element, and determining a classification for the first classifier training data element and the second classifier training data element, utilizing the similarity metric between the first classifier training data element and the second classifier training data element.