Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Browse the Knowledge Base!

Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously, attempting to perform two tasks each day:

• First, it attempts to "read," or extract facts from text found in hundreds of millions of web pages (e.g., playsInstrument(George_Harrison, guitar)).
• Second, it attempts to improve its reading competence, so that tomorrow it can extract more facts from the web, more accurately.

So far, NELL has accumulated over 50 million candidate beliefs by reading the web, and it is considering these at different levels of confidence. NELL has high confidence in 2,810,379 of these beliefs — these are displayed on this website. It is not perfect, but NELL is learning. You can track NELL's progress below or @cmunell on Twitter, browse and download its knowledge base, read more about our technical approach, or join the discussion group.

Recently-Learned Facts

instance	iteration	date learned	confidence
kmtp_tv is a TV station	1111	06-jul-2018	99.1
country_route is a highway	1111	06-jul-2018	93.4
home_java_certification_news_forum_books_about_this_article is a legislative bill	1111	06-jul-2018	93.0
wong_kar_wei is a director	1111	06-jul-2018	90.7
n1889___1982 is a year	1111	06-jul-2018	100.0
yum_brands has acquired kfc	1114	25-aug-2018	100.0
keith_hernandez is an athlete that flied out to position center	1111	06-jul-2018	100.0
hub_airports is a generalization of sfo	1114	25-aug-2018	100.0
charles has been charged with murder	1115	03-sep-2018	93.8
new_york_stock_exchange is a company also known as nyse	1113	15-aug-2018	100.0