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
amberton_university is a university	1111	06-jul-2018	100.0
tainted_wheat is an agricultural product	1111	06-jul-2018	99.5
brian_r__gaines is an author in the scientific field of machine learning	1111	06-jul-2018	93.8
grand_prix_du_midi_libre is a sports race	1111	06-jul-2018	100.0
rock_concert_photos is form of visual art	1111	06-jul-2018	98.0
steve001 is a person who belongs to the organization history	1112	24-jul-2018	96.9
opioids is a drug that might treat pain	1112	24-jul-2018	99.7
tuna is a fish that can be served with the food dinner in a meal (or dish)	1116	12-sep-2018	97.9
the home stadium of martin_havlat is wrigley_field	1116	12-sep-2018	100.0
the sports leage cfl uses the venue investors_group_field	1111	06-jul-2018	100.0