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Christine A Grev

from Rochester, MN
Age ~59
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Also known as:
Chris A Grev, Christine A Grey, Chris Grey
Phone and address:
11724 11Th Ave NE, Rochester, MN 55906
(507) 753-2069
Related to:
James J Kretsch, 82Loren Grev, 59Jessica Grev, 31Nathaniel Grev, 33Amanda M Grev, 36
Connected to:
Allan D Greve, 87Betty L Greve, 87Brandon G Greve, 51Chad W Greve, 45Gordon M Greve, 90Jack E Greve, 50Jay K Greve, 62Jeremy A Greve, 45Julia L Greve, 72Karin A Greve, 59

Christine Grev Phones & Addresses

  • 11724 11Th Ave NE, Rochester, MN 55906 (507) 753-2069
  • Hanska, MN
  • New Ulm, MN
  • Courtland, MN
  • 11724 11Th Ave NE, Rochester, MN 55906

Work

Position: Handlers, Equipment Cleaners, Helpers, and Laborers Occupations

Education

Degree: High school graduate or higher

Resumes

Resumes

Christine Grev Photo 1

Marketing & Communication At United Way Of Mower County

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Location:
Rochester, Minnesota Area
Industry:
Nonprofit Organization Management
Christine Grev Photo 2

Marketing & Communication At United Way Of Mower County

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Location:
Rochester, Minnesota Area
Industry:
Nonprofit Organization Management
Christine Grev Photo 3

Software Engineer

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Location:
Rochester, MN
Industry:
Computer Software
Work:
Ibm
Software Engineer

Publications

Us Patents

Annotation Structure Type Determination

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US Patent:
7900133, Mar 1, 2011
Filed:
Dec 9, 2003
Appl. No.:
10/731080
Inventors:
Brian J. Cragun - Rochester MN, US
Christine A. Grev - Rochester MN, US
Cale T. Rath - Byron MN, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 17/00
US Classification:
715230, 715231, 715233, 715234
Abstract:
Methods, systems, and articles of manufacture for organizing and selecting structures used to generate forms for capturing information as annotations made for a variety of different type data objects are provided. Some embodiments allow annotation structures to be associated with specific pairings of data object types and user roles via entries in a configuration file. When a user selects a set of one or more data objects for annotation, the configuration file may be accessed to determine a proper annotation structure for use in generating an annotation form based on the selected data objects and a role of the user.

Universal Annotation Server And Interface

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US Patent:
20040260717, Dec 23, 2004
Filed:
Jun 20, 2003
Appl. No.:
10/600021
Inventors:
Jordi Albornoz - Cambridge MA, US
Avijit Chatterjee - White Plains, SU
Paul Chmielewski - Byron MN, US
Lee Feigenbaum - Brookline MA, US
Christine Grev - Rochester MN, US
Kyle Henderson - Mantorville MN, US
Lonnie McCullough - Boston MA, US
Cale Rath - Byron MN, US
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION - ARMONK NY
International Classification:
G06F017/00
US Classification:
707/102000
Abstract:
Methods, systems, and articles of manufacture for managing annotations made for a variety of different type data objects manipulated (e.g., created, edited, and viewed) by a variety of different type applications are provided. Some embodiments allow users collaborating on a project to create, view, and edit annotations from within the applications used to manipulate the annotated data objects, which may facilitate and encourage the capturing and sharing of tacit knowledge through annotations. Further, annotations may be stored separate from the application data they describe, decoupling the tacit knowledge captured in the annotations from the applications used to manipulate the annotated data.

Method And System For Efficient And Scalable Detection And Management Of Global Annotations

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US Patent:
20050209989, Sep 22, 2005
Filed:
Oct 14, 2004
Appl. No.:
10/965185
Inventors:
Jordi Albornoz - Arlington MA, US
Brian Cragun - Rochester MN, US
Christine Grev - Rochester MN, US
Hoa Tran - Rochester MN, US
David Wall - Rochester MN, US
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION - ARMONK NY
International Classification:
G06F007/00
US Classification:
707001000
Abstract:
Methods, systems, and articles of manufacture for proving global annotation services are disclosed. Global annotations are used to annotate a data element independently from the internal representation of a data element employed by a particular software application. Data elements are normalized into a form used by a global annotation system to identify the data element, and corresponding global annotations, independent from the application in which the data element may appear. An annotation cache may be used to store the global annotations that have been created for a particular data source, improving the efficiency of the global annotation system.

Annotation Structure Type Determination

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US Patent:
20110154178, Jun 23, 2011
Filed:
Feb 28, 2011
Appl. No.:
13/037329
Inventors:
Brian J. Cragun - Rochester MN, US
Christine A. Grev - Rochester MN, US
Cale T. Rath - Byron MN, US
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY
International Classification:
G06F 17/00
US Classification:
715230
Abstract:
Methods, systems, and articles of manufacture for organizing and selecting structures used to generate forms for capturing information as annotations made for a variety of different type data objects are provided. Some embodiments allow annotation structures to be associated with specific pairings of data object types and user roles via entries in a configuration file. When a user selects a set of one or more data objects for annotation, the configuration file may be accessed to determine a proper annotation structure for use in generating an annotation form based on the selected data objects and a role of the user.

Automatic Generation Of Training Cases And Answer Key From Historical Corpus

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US Patent:
20190325347, Oct 24, 2019
Filed:
Jul 2, 2019
Appl. No.:
16/460368
Inventors:
- Armonk NY, US
Christine A. Grev - Rochester MN, US
Richard J. Stevens - Monkton VT, US
Kathryn L. Whaley - Rochester MN, US
International Classification:
G06N 20/00
G16H 10/60
Abstract:
Mechanisms are provided for training and operating a Question and Answer (QA) system pipeline. A corpus of information is received which comprises historical data to which one or more filter criteria are applied to extract filtered historical data relevant to a training objective for training the QA system pipeline. Attribute data, action data, and temporal characteristic data are captured from the filtered historical data. An answer key entry is automatically generated in an automatically generated training answer key data structure based on the attribute data, action data, and temporal characteristic data. The correct answer associated with the answer key entry is an action specified by the action data. The temporal characteristic data provides a historical context for the answer key entry. The QA system pipeline is trained using the automatically generated training answer key data structure.

Augmenting Answer Keys With Key Characteristics For Training Question And Answer Systems

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US Patent:
20160196504, Jul 7, 2016
Filed:
Jan 7, 2015
Appl. No.:
14/591413
Inventors:
- Armonk NY, US
Christine A. Grev - Rochester MN, US
Richard J. Stevens - Monkton VT, US
International Classification:
G06N 99/00
G06N 7/00
Abstract:
Mechanisms are provided for implementing training logic for training a Question and Answer (QA) system. A training question, associated with an answer key, is received and processed by the QA system to generate a final answer to the training question and supporting evidence for the final answer based on a corpus of information. The supporting evidence is analyzed to identify one or more evidence attributes and a plurality of correct answer entries in the answer key are searched to identify a matching correct answer entry that matches the final answer. The matching correct answer entry in the answer key is augmented to include the one or more evidence attributes in an augmented answer key and the QA system is trained based on the augmented answer key.

Automatic Generation Of Training Cases And Answer Key From Historical Corpus

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US Patent:
20160148114, May 26, 2016
Filed:
Nov 25, 2014
Appl. No.:
14/552948
Inventors:
- Armonk NY, US
Christine A. Grev - Rochester MN, US
Richard J. Stevens - Monkton VT, US
Kathryn L. Whaley - Rochester MN, US
International Classification:
G06N 99/00
G06N 5/04
G06F 19/00
Abstract:
Mechanisms are provided for training and operating a Question and Answer (QA) system pipeline. A corpus of information is received which comprises historical data to which one or more filter criteria are applied to extract filtered historical data relevant to a training objective for training the QA system pipeline. Attribute data, action data, and temporal characteristic data are captured from the filtered historical data. An answer key entry is automatically generated in an automatically generated training answer key data structure based on the attribute data, action data, and temporal characteristic data. The correct answer associated with the answer key entry is an action specified by the action data. The temporal characteristic data provides a historical context for the answer key entry. The QA system pipeline is trained using the automatically generated training answer key data structure.
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Christine A Grev from Rochester, MN, age ~59 Get Report