Automatically Labeling Facts in a Never-Ending Language Learning system

author: Estevam R. Hruschka, Federal University of Săo Carlos
published: Dec. 1, 2014,   recorded: October 2014,   views: 4775
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Description

Never-Ending Language Learner (NELL)1 is a computer system that runs 24/7, forever, learning to read the web. extract (read) more facts from the web, and integrate these into its growing knowledge base of beliefs; and ii) learn to read better than yesterday, enabling it to go back to the text it read yesterday, and today extract more facts, more accurately. This system has been running 24 hours/day for over four years now. The result so far is a collection of 70 million interconnected beliefs (e.g., servedWith(coffee, applePie), isA(applePie, bakedGood)), that NELL is considering at different levels of confidence, along with hundreds of thousands of learned phrasings, morphological features, and web page structures that NELL uses to extract beliefs from the web2 .

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Download slides icon Download slides: sikdd2014_hruschka_labeling_facts_01.pdf (13.9 MB)


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