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
open_car_door is an item often found in a hallway	1111	06-jul-2018	99.7
privet_thrips is an arthropod	1111	06-jul-2018	100.0
grand_prix_de_dourges_h_nin_beaumont is a sports race	1111	06-jul-2018	100.0
michael_r__perry is a director	1111	06-jul-2018	92.3
inguinal_nodes is a lymph node	1111	06-jul-2018	99.3
hockey is a sport played in the venue american_airlines_center	1112	24-jul-2018	100.0
national_maritime_museum is a museum in the city central_london	1116	12-sep-2018	98.4
jamie_dimon is a top member of chase	1116	12-sep-2018	100.0
george has been charged with crime	1116	12-sep-2018	99.6
patty_murray represents the region washington	1113	15-aug-2018	100.0