Sign up & Download
Sign in

Entity linking at web scale

by Thomas Lin, Mausam, Oren Etzioni
Akbc-Wekex 2012 ()


This paper investigates entity linking over millions of high-precision extractions from a corpus of 500 million Web documents, toward the goal of creating a useful knowledge base of general facts. This paper is the first to report on entity linking over this many extractions, and describes new opportunities (such as corpus-level features) and challenges we found when entity linking at Web scale. We present several techniques that we developed and also lessons that we learned. We envision a future where information extraction and entity linking are paired to automatically generate knowledge bases with billions of assertions over millions of linked entities.

Cite this document (BETA)

Readership Statistics

89 Readers on Mendeley
by Discipline
by Academic Status
36% Ph.D. Student
18% Student (Master)
9% Researcher (at a non-Academic Institution)
by Country
7% United States
3% Iran
3% United Kingdom

Sign up today - FREE

Mendeley saves you time finding and organizing research. Learn more

  • All your research in one place
  • Add and import papers easily
  • Access it anywhere, anytime

Start using Mendeley in seconds!

Sign up & Download

Already have an account? Sign in