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Denis H Savenkov

from Redmond, WA
Age ~40
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Also known as:
Savenkov Demis
Connected to:
Andrey A Savenkov, 55Anna Savenkova, 35Ekaterina Savenkova, 43Sandra J Savenko, 66Tatyana Savenok, 59Stacey R Savens, 50Samuel L Saveraid, 54Kim Savercool, 67Shawn L Savercool, 59Paul B Savereide, 65

Denis Savenkov Phones & Addresses

  • Redmond, WA
  • Seattle, WA
  • Atlanta, GA

Work

Company: Facebook May 1, 2017 Position: Research scientist

Education

Degree: Doctorates, Doctor of Philosophy School / High School: Emory University 2011 to 2017 Specialities: Computer Science, Philosophy

Skills

Machine Learning • Algorithms • Information Retrieval • Data Analysis • C++ • Python • Computer Science • Data Mining • Natural Language Processing • Java • Latex • Artificial Intelligence • Hadoop • Linux

Languages

Russian • English

Interests

Data Analysis • Project Management • Snowboarding • Software Development • Graphical Models • Machine Learning • Data Science • Running • Social Networks • Triathlon

Industries

Research

Resumes

Resumes

Denis Savenkov Photo 1

Research Scientist

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Location:
Atlanta, GA
Industry:
Research
Work:
Facebook
Research Scientist
Google May 2013 - Aug 2013
Software Engineering Intern
Microsoft May 2012 - Aug 2012
Research Intern
Yandex Sep 2008 - Aug 2011
Software Developer
Componentace Jun 2007 - Sep 2008
Software Developer
Education:
Emory University 2011 - 2017
Doctorates, Doctor of Philosophy, Computer Science, Philosophy Yandex School of Data Analysis 2008 - 2010
Master of Science, Masters Tula State University 2001 - 2007
Master of Science, Masters Yandex School of Data Analysis
Tula State University
Doctorates, Doctor of Philosophy
Skills:
Machine Learning
Algorithms
Information Retrieval
Data Analysis
C++
Python
Computer Science
Data Mining
Natural Language Processing
Java
Latex
Artificial Intelligence
Hadoop
Linux
Interests:
Data Analysis
Project Management
Snowboarding
Software Development
Graphical Models
Machine Learning
Data Science
Running
Social Networks
Triathlon
Languages:
Russian
English

Publications

Wikipedia

2005 World Artistic Gymnastics Champiships the free ...

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Denis Savenkov: Mingyong Yan: Marko Brez: Linas Gaveika: Luis Rivera: Mohamed Serour: Damian Istria: Ildar Valeev: Ewoudt Van Der Linde: Marco Baldauf: Dorin Razvan Selariu

Us Patents

Information Extraction From Question And Answer Websites

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US Patent:
20180150468, May 31, 2018
Filed:
Dec 20, 2017
Appl. No.:
15/849212
Inventors:
- Mountain View CA, US
Denis Savenkov - Atlanta GA, US
Jeffrey Dalton - San Mateo CA, US
Evgeniy Gabrilovich - Saratoga CA, US
Eugene Agichtein - Atlanta GA, US
International Classification:
G06F 17/30
G06F 17/27
Abstract:
Methods, systems, and apparatus for obtaining a resource, identifying a first portion of text of the resource that is characterized as a question, and a second part of text of the resource that is characterized as an answer to the question, identifying an entity that is referenced by one or more terms of the text that is characterized as the question, a relationship type that is referenced by one or more other terms of the text that is characterized as the question, and an entity that is referenced by the text that is characterized as the answer to the question, and adjusting a score for a relationship of the relationship type for the entity that is referenced by the one or more terms of the text that is characterized as the question and the entity that is referenced by the text that is characterized as the answer to the question.

Information Extraction From Question And Answer Websites

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US Patent:
20160283491, Sep 29, 2016
Filed:
Mar 25, 2015
Appl. No.:
14/667792
Inventors:
- Mountain View CA, US
Denis Savenkov - Atlanta GA, US
Jeffrey Dalton - San Mateo CA, US
Evgeniy Gabrilovich - Saratoga CA, US
Eugene Agichtein - Atlanta GA, US
International Classification:
G06F 17/30
G06F 17/27
Abstract:
Methods, systems, and apparatus for obtaining a resource, identifying a first portion of text of the resource that is characterized as a question, and a second part of text of the resource that is characterized as an answer to the question, identifying an entity that is referenced by one or more terms of the text that is characterized as the question, a relationship type that is referenced by one or more other terms of the text that is characterized as the question, and an entity that is referenced by the text that is characterized as the answer to the question, and adjusting a score for a relationship of the relationship type for the entity that is referenced by the one or more terms of the text that is characterized as the question and the entity that is referenced by the text that is characterized as the answer to the question.
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Denis H Savenkov from Redmond, WA, age ~40 Get Report