Entity Linking at Web Scale
Entity Linking at Web Scale
authors Thomas Lin, Mausam and Oren Etzioni
venue Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction
year 2012
abstract 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.

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