Daniel Z Pierce

US Patent:

20190340294, Nov 7, 2019

Filed:

May 4, 2018

Appl. No.:

15/971207

Inventors:

- Armonk NY, US
Richard L. Martin - Jamaica Plain MA, US
David Martinez Iraola - Sunnyvale CA, US
Daniel Pierce - Rochester MN, US
Sheng Hua Bao - San Jose CA, US
Meenakshi Nagarajan - San Jose CA, US
Michael D. Pfeifer - Olmsted MN, US

International Classification:

G06F 17/30
G06F 17/27
G06N 5/02
G06F 19/28

Abstract:

According to embodiments of the present invention, methods, systems and computer readable media are provided, in a cognitive data processing system, for implementing a predictive analytics system that utilizes entity and non-entity information. A collection of content is processed to extract defined entities pertaining to one or more domains. Semantic relationships are determined between objects within the collection of content, wherein the objects include undefined entities. The defined entities and objects are resolved based on entity definitions and the semantic relationships to determine defined entities and undefined entities for a resulting data set. The resulting data set is processed to identify one or more relationships between a defined entity and an undefined entity.

US Patent:

20170109333, Apr 20, 2017

Filed:

Oct 15, 2015

Appl. No.:

14/884217

Inventors:

- Armonk NY, US
Mario J. LORENZO - Miami FL, US
Jeffrey B. NOWICKI - Oronoco MN, US
Daniel Z. PIERCE - Rochester MN, US
Jerry L. VON BERGE - Byron MN, US

International Classification:

G06F 17/24
G06F 17/30

Abstract:

Systems, methods, and computer program products to perform an operation comprising receiving a policy document specifying a plurality of criteria, identifying, in a segment of unstructured text in the policy document, a criteria delimiter, creating a first portion and a second portion of the segment of unstructured text, wherein the first and second portions are created based on the criteria delimiter, wherein the first and second portions comprise a first criterion and a second criterion, respectively, and responsive to identifying an anaphora in the second portion of the segment of unstructured text that is related to a term in the first portion of the segment of unstructured text, combining the first criterion and the second criterion into a composite criterion.