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
child_status_protection_act is a legislative bill	1111	06-jul-2018	90.9
kiplinger_s_personal_finance_magazine is a newspaper	1111	06-jul-2018	100.0
solid_core_interior_doors is something found in or on buildings	1111	06-jul-2018	98.3
n33_32 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
summit_hampton_roads_federal_credit_union is a credit union	1111	06-jul-2018	100.0
adam is a musician who plays the piano	1115	03-sep-2018	98.4
oregon_ducks participated in the event finals	1113	15-aug-2018	93.8
washington_wizards is a sports team that played in series	1113	15-aug-2018	96.9
cleveland is the home city of the sports team cavaliers	1116	12-sep-2018	100.0
mount_sinai is a hospital in the city chicago_south	1116	12-sep-2018	100.0