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
economics_prize is a film festival	1111	06-jul-2018	100.0
pegidiidae is a mollusk	1112	24-jul-2018	100.0
orchid_leaves is a vegetable	1111	06-jul-2018	93.6
casual_dining_furniture is a kind of furniture	1111	06-jul-2018	99.5
n69_65_loss is an event outcome	1111	06-jul-2018	99.9
weapons is a type of weapon produced in russia_federation	1113	15-aug-2018	93.8
the loosing score of n2006_orange_bowl was 23	1116	12-sep-2018	100.0
national is a bank in spain	1114	25-aug-2018	100.0
saint_john is a city that lies on the river saint_john	1112	24-jul-2018	96.2
three is the number of people injured in the event blast_hits_bangkok	1116	12-sep-2018	100.0