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
brilliant_white_stars is a geometric shape	1111	06-jul-2018	97.3
moore_cave is a cave	1111	06-jul-2018	100.0
n2_400 is a machine-learning algorithm	1111	06-jul-2018	99.4
ruth_robinson is an Australian person	1111	06-jul-2018	100.0
upper_valley_community_credit_union is a credit union	1111	06-jul-2018	100.0
beckham has wife victoria	1116	12-sep-2018	98.4
the coach rickey_henderson won the trophy or tournament world_series	1111	06-jul-2018	100.0
the country liberia uses the currency dollars	1116	12-sep-2018	100.0
kcpq_tv is a TV affiliate of the network fox	1116	12-sep-2018	96.9
norman_manley_international is an attraction that will be fall in city kingston	1116	12-sep-2018	99.6