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: 4779


Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.


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 .

See Also:

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

Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: