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Julie A Medero

from Saint Petersburg, FL
Age ~43
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Also known as:
Julie Ann Medero, Julie Ann Corder, Julie A Corder, Julie A Modero
Related to:
Kristina R Welch, 37Marsha J Medero, 71Tristan P Corder, 33David J Walls, 63Susan M Corder, 74Cynthia M Corder, 63Shawn P Medero, 45Theresa M Katrakazis, 82Anthony D Medero, 76Elizabeth C Corder, 41Allison Corder, 33Michael L Corder, 75
Connected to:
Ignacio Medero, 54Iraida Medero, 54Jessica A Medero, 33Marcos Medero, 35Nazario Medero, 91Sandra Medero, 58Teresa Medero, 55Alain Mederos, 33Amy L Mederos, 44Angelina C Mederos, 50

Julie Medero Phones & Addresses

  • Saint Petersburg, FL
  • 731 W 12Th St, Claremont, CA 91711
  • Philadelphia, PA
  • Seattle, WA
  • Swarthmore, PA
  • 3731 Eastern Ave N, Seattle, WA 98103

Resumes

Resumes

Julie Medero Photo 1

Associate Professor Of Compute

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Location:
731 west 12Th St, Claremont, CA 91711
Industry:
Higher Education
Work:
University of Washington since Jun 2008
Graduate Student
Linguistic Data Consortium 2003 - 2007
Programmer Analyst
Wyeth Ayerst 2001 - 2001
IT Intern
KnowledgeView, Inc. 1999 - 2000
Multimedia Tutorial Developer
Education:
Swarthmore College 1999 - 2003
University of Washington
Skills:
Machine Learning
Natural Language Processing
Python
Latex
Matlab
Data Analysis
Algorithms
Linux
Data Mining
Information Extraction
Mysql
Human Computer Interaction
Statistics
Julie Medero Photo 2

Julie Medero

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Publications

Us Patents

Functionality For Normalizing Linguistic Items

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US Patent:
20130110497, May 2, 2013
Filed:
Dec 7, 2011
Appl. No.:
13/313034
Inventors:
Julie A. Medero - Seattle WA, US
Daniel S. Morris - Bellevue WA, US
Lucretia H. Vanderwende - Sammamish WA, US
Michael Gamon - Seattle WA, US
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
G06F 17/27
US Classification:
704 9
Abstract:
Functionality is described herein for converting an input linguistic item into a normalized linguistic item, representing a normalized counterpart of the input linguistic item. In one environment, the input linguistic item corresponds to a complaint by a person receiving medical care, and the normalized linguistic item corresponds to a definitive and error-free version of that complaint. In operation, the functionality uses plural reference resources to expand the input linguistic item, creating an expanded linguistic item. The functionality then forms a graph based on candidate tokens that appear in the expanded linguistic item, and then finds a shortest path through the graph; that path corresponds to the normalized linguistic item. The functionality may use a statistical language model to assign weights to edges in the graph, and to determine whether the normalized linguistic incorporates two or more component linguistic items.
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Julie A Medero from Saint Petersburg, FL, age ~43 Get Report