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Barbara W Hollister

from New York, NY
Age ~85
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Also known as:
Barb W Hollister, Barba Hollister, Barbara Ryan, Babera W Holliester, Hollister Barba
Phone and address:
10 16Th St, New York, NY 10003
(212) 924-3808
Related to:
Anne M Makesca, 62D HollisterDavid M Hollister, 95
Connected to:
Allen Hollister, 58Alyssa C Hollister, 33Andrea Hollister, 43Annabella Hollister, 49Ava L Hollister, 102Barbara J Hollister, 72Berton A Hollister, 87Carissima R Hollister, 48Carrie Hollister, 56Catherine E Hollister, 91

Barbara Hollister Phones & Addresses

  • 10 16Th St, New York, NY 10003 (212) 924-3808
  • 10 E 16Th St APT 5, New York, NY 10003 (212) 924-3808
  • 28 Union Sq, New York, NY 10003 (212) 691-2621
  • 41 Union Sq, New York, NY 10003 (212) 691-2621
  • Lauderdale Lakes, FL

Resumes

Resumes

Barbara Hollister Photo 1

Co-Founder And Chief Executive Officer

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Location:
New York, NY
Industry:
Writing And Editing
Work:
Grand Canyon University since Apr 2010
Student
Education:
Grand Canyon University 2010 - 2013
BA, Communication Gibbs College 1992 - 1993
Skills:
Research
Editing
Copy Editing
Writing
Children
Cultural Diversity
Database Administration
English
Excel
Event Planning
Hris
History
Powerpoint
Payroll
Accounts Payable
Human Relations
Word
Wordperfect
Benefits Administration
Team Building
Visio
Youth Development
Behavior Modification
Eating Disorders
Digital Media
Telecommunications
Teamwork
Catering
Travel Management
Business Correspondence
Child Development
Procurement
Microsoft Word
Microsoft Excel
Proofreading
Nonprofits
Social Media
Public Relations
Marketing Copy
Marketing Communications
Social Media Blogging
Marketing
Sales
Awards:
Deans list
Presidents List
Deans List
Barbara Hollister Photo 2

Senior Business Analyst

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Location:
Salt Lake City, UT
Industry:
Government Administration
Work:
Ebsm Sep 1998 - Jul 1999
Insurance Claims
State of Utah Sep 1998 - Jul 1999
Senior Business Analyst
First Health Strategies Apr 1993 - Sep 1998
Trainer
Skills:
Government
Program Management
Policy Analysis
Policy
Public Policy
Analysis
Critical Thinking
Accounting
Human Resources
Hipaa
Leadership
Data Analysis
Insurance
Training
Customer Service
Public Speaking
Barbara Hollister Photo 3

Barbara Hollister

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Location:
New York, NY
Industry:
Fine Art
Work:

Art
Barbara Hollister Photo 4

Barbara Hollister

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Location:
101 Barry Rd, Worcester, MA 01609
Industry:
Telecommunications
Work:
AT&T Labs, Inc. since Jun 1995
Member of Technical Staff, Research
AT&T Labs - Research since Jun 1995
Member of Technical Staff
Education:
Stanford University
Master of Science, Masters, Computer Science
Barbara Hollister Photo 5

Barbara Hollister

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Location:
New York, NY
Barbara Hollister Photo 6

Art Specialist

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Location:
New York, NY
Work:

Art Specialist
Barbara Hollister Photo 7

Barbara Hollister

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Barbara Hollister Photo 8

Barbara Hollister

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Location:
Greater New York City Area
Industry:
Writing and Editing

Publications

Us Patents

Reducing Time For Annotating Speech Data To Develop A Dialog Application

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US Patent:
7412383, Aug 12, 2008
Filed:
Apr 4, 2003
Appl. No.:
10/407965
Inventors:
Tirso M. Alonso - New Providence NJ, US
Ilana Bromberg - Murray Hill NJ, US
Barbara B. Hollister - Mountainside NJ, US
Mazin G. Rahim - Warren NJ, US
Giuseppe Riccardi - Hoboken NJ, US
Lawrence Lyon Rose - Basking Ridge NJ, US
Daniel Leon Stern - Princeton NJ, US
Gokhan Tur - Morris Plains NJ, US
James M. Wilson - Berkeley Heights NJ, US
Assignee:
AT&T Corp - New York NY
International Classification:
G10L 15/06
G10L 15/22
US Classification:
704236, 704243, 704257
Abstract:
Systems and methods for annotating speech data. The present invention reduces the time required to annotate speech data by selecting utterances for annotation that will be of greatest benefit. A selection module uses speech models, including speech recognition models and spoken language understanding models, to identify utterances that should be annotated based on criteria such as confidence scores generated by the models. These utterances are placed in an annotation list along with a type of annotation to be performed for the utterances and an order in which the annotation should proceed. The utterances in the annotation list can be annotated for speech recognition purposes, spoken language understanding purposes, labeling purposes, etc. The selection module can also select utterances for annotation based on previously annotated speech data and deficiencies in the various models.

Reducing Time For Annotating Speech Data To Develop A Dialog Application

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US Patent:
7860713, Dec 28, 2010
Filed:
Jul 1, 2008
Appl. No.:
12/165755
Inventors:
Tirso M. Alonso - New Providence NJ, US
Ilana Bromberg - Murray Hill NJ, US
Barbara B. Hollister - Mountainside NJ, US
Mazin G. Rahim - Warren NJ, US
Giuseppe Riccardi - Hoboken NJ, US
Lawrence Lyon Rose - Basking Ridge NJ, US
Daniel Leon Stern - Princeton NJ, US
Gokhan Tur - Morris Plains NJ, US
James M. Wilson - Berkeley Heights NJ, US
Assignee:
AT&T Intellectual Property II, L.P. - New York NY
International Classification:
G10L 15/14
G10L 15/22
US Classification:
704236, 704243, 704255
Abstract:
Systems and methods for annotating speech data. The present invention reduces the time required to annotate speech data by selecting utterances for annotation that will be of greatest benefit. A selection module uses speech models, including speech recognition models and spoken language understanding models, to identify utterances that should be annotated based on criteria such as confidence scores generated by the models. These utterances are placed in an annotation list along with a type of annotation to be performed for the utterances and an order in which the annotation should proceed. The utterances in the annotation list can be annotated for speech recognition purposes, spoken language understanding purposes, labeling purposes, etc. The selection module can also select utterances for annotation based on previously annotated speech data and deficiencies in the various models.

Voice-Enabled Dialog System

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US Patent:
7869998, Jan 11, 2011
Filed:
Dec 19, 2002
Appl. No.:
10/325295
Inventors:
Giuseppe Di Fabbrizio - Summit NJ, US
Dawn L Dutton - West Long Branch NJ, US
Narendra K. Gupta - Dayton NJ, US
Barbara B. Hollister - Mountainside NJ, US
Mazin G Rahim - Matawan NJ, US
Giuseppe Riccardi - Hoboken NJ, US
Robert Elias Schapire - Maplewood NJ, US
Juergen Schroeter - New Providence NJ, US
Assignee:
AT&T Intellectual Property II, L.P. - New York NY
International Classification:
G10L 15/04
US Classification:
704251, 704 1, 704 9, 704231, 704257, 704270
Abstract:
A voice-enabled help desk service is disclosed. The service comprises an automatic speech recognition module for recognizing speech from a user, a spoken language understanding module for understanding the output from the automatic speech recognition module, a dialog management module for generating a response to speech from the user, a natural voices text-to-speech synthesis module for synthesizing speech to generate the response to the user, and a frequently asked questions module. The frequently asked questions module handles frequently asked questions from the user by changing voices and providing predetermined prompts to answer the frequently asked question.

Method Of Handling Frequently Asked Questions In A Natural Language Dialog Service

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US Patent:
8645122, Feb 4, 2014
Filed:
Dec 19, 2002
Appl. No.:
10/325266
Inventors:
Giuseppe Di Fabbrizio - Summit NJ, US
Dawn L Dutton - West Long Branch NJ, US
Narendra K. Gupta - Dayton NJ, US
Barbara B. Hollister - Mountainside NJ, US
Mazin G Rahim - Matawan NJ, US
Giuseppe Riccardi - Hoboken NJ, US
Robert Elias Schapire - Maplewood NJ, US
Juergen Schroeter - New Providence NJ, US
Assignee:
AT&T Intellectual Property II, L.P. - Atlanta GA
International Classification:
G06F 17/27
US Classification:
704 9, 704231, 704251, 704257
Abstract:
A voice-enabled help desk service is disclosed. The service comprises an automatic speech recognition module for recognizing speech from a user, a spoken language understanding module for understanding the output from the automatic speech recognition module, a dialog management module for generating a response to speech from the user, a natural voices text-to-speech synthesis module for synthesizing speech to generate the response to the user, and a frequently asked questions module. The frequently asked questions module handles frequently asked questions from the user by changing voices and providing predetermined prompts to answer frequently asked questions.

System And Method For Crowd-Sourced Data Labeling

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US Patent:
20130132080, May 23, 2013
Filed:
Nov 18, 2011
Appl. No.:
13/300087
Inventors:
Jason Williams - New York NY, US
Tirso Alonso - Basking Ridge NJ, US
Barbara B. Hollister - Mountainside NJ, US
Ilya Dan Melamed - New York NY, US
Assignee:
AT&T Intellectual Property I, L.P. - Atlanta GA
International Classification:
G10L 15/26
G10L 15/06
US Classification:
704235, 704243, 704E15007, 704E15043
Abstract:
Disclosed herein are systems, methods, and non-transitory computer-readable storage media for crowd-sourced data labeling. The system requests a respective response from each of a set of entities. The set of entities includes crowd workers. Next, the system incrementally receives a number of responses from the set of entities until at least one of an accuracy threshold is reached and m responses are received, wherein the accuracy threshold is based on characteristics of the number of responses. Finally, the system generates an output response based on the number of responses.

Method Of Handling Frequently Asked Questions In A Natural Language Dialog Service

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US Patent:
20140149121, May 29, 2014
Filed:
Feb 3, 2014
Appl. No.:
14/171129
Inventors:
- Atlanta GA, US
Dawn L. Dutton - West Long Branch NJ, US
Narendra K. Gupta - Dayton NJ, US
Barbara B. Hollister - Mountainside NJ, US
Mazin G. Rahim - Matawan NJ, US
Giuseppe Riccardi - Hoboken NJ, US
Robert Elias Schapire - Maplewood NJ, US
Juergen Schroeter - New Providence NJ, US
Assignee:
AT&T Intellectual Property II, L.P. - Atlanta GA
International Classification:
G10L 21/00
US Classification:
7042701
Abstract:
A voice-enabled help desk service is disclosed. The service comprises an automatic speech recognition module for recognizing speech from a user, a spoken language understanding module for understanding the output from the automatic speech recognition module, a dialog management module for generating a response to speech from the user, a natural voices text-to-speech synthesis module for synthesizing speech to generate the response to the user, and a frequently asked questions module. The frequently asked questions module handles frequently asked questions from the user by changing voices and providing predetermined prompts to answer frequently asked questions.
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Barbara W Hollister from New York, NY, age ~85 Get Report