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
refrigerator_no_cheese_cake is a baked good	1111	06-jul-2018	100.0
plastic_injection_mold is a fungus	1111	06-jul-2018	96.6
anthracite_capital_inc is a biotech company	1111	06-jul-2018	100.0
associated_credit_union_of_texas is a credit union	1111	06-jul-2018	100.0
pfeiffer_university is a university	1111	06-jul-2018	100.0
cross_roads is a farm in the state or province maryland	1116	12-sep-2018	100.0
ryan_anderson is an athlete who led magic	1116	12-sep-2018	96.9
steve001 is an athlete who injured his/her shoulder	1112	24-jul-2018	100.0
middle a muscle located in bodypart arms	1115	03-sep-2018	99.6
vernon_bellecourt belongs to the ethnic group lakota	1116	12-sep-2018	100.0