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Nikola Paunković1 and Marko Vojinović2 1Instituto de Telecomunicações and Departamento de Matemática, Instituto Superior Técnico, Universidade de Lisboa, Avenida Rovisco Pais 1049-001, Lisboa, Portugal2Institute...

Raffaele Salvia1 and Vittorio Giovannetti2 1Scuola Normale Superiore and University of Pisa, I-56127 Pisa, Italy2NEST, Scuola Normale Superiore and Istituto Nanoscienze-CNR, I-56126 Pisa, Italy...

James Stokes1, Josh Izaac2, Nathan Killoran2, and Giuseppe Carleo3 1Center for Computational Quantum Physics and Center for Computational Mathematics, Flatiron Institute, New York, NY...

Thomas Vidick1 and Tina Zhang2 1Department of Computing and Mathematical Sciences, California Institute of Technology, USA2Division of Physics, Mathematics and Astronomy, California Institute of...

Table Of Contents

• Introduction

• An Ideal System for Resume Filtering

  • What is Resume Parsing
  • Advantages of OCR Based Parsing

• Why is automated data extraction for Resumes is tough using traditional methods?

  • Using Named Entity Recognition
  • Challenges Traditional Algorithms Fails

• Building an Accurate Resume Parsing Engine using Deep learning

• Object Detection

Jonas M. Kübler1,2, Andrew Arrasmith1, Lukasz Cincio1, and Patrick J. Coles1 1Theoretical Division, MS B213, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.2Max...

D. Hurley-Smith, C. Patsakis and J. Hernandez-Castro, “On the unbearable lightness of FIPS 140-2 randomness tests,” in IEEE Transactions on Information Forensics and Security.DOI:...