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
class_shares is a machine-learning conference	1111	06-jul-2018	96.9
crystal_palace_casino is a stadium or event venue	1111	06-jul-2018	100.0
n73_69_victory is an event outcome	1111	06-jul-2018	93.0
railway_station is a location	1113	15-aug-2018	100.0
port_of_limay_porcheville is a transportation port	1111	06-jul-2018	100.0
dick_ebersol is a top member of nbc_news	1116	12-sep-2018	93.9
national is a bank that bought barclays	1114	25-aug-2018	100.0
n1_8_inch looks like display001	1114	25-aug-2018	99.9
garage is often found in site	1116	12-sep-2018	93.8
wilkes_barre_scranton_international_airport is a generalization of temple_of_the_reclining_buddha	1115	03-sep-2018	100.0