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
golden_landmark is a hotel	1111	06-jul-2018	98.1
hardanger_musikkfest is a music festival	1111	06-jul-2018	100.0
yang_lan is an Asian person	1111	06-jul-2018	100.0
canti is a wine	1111	06-jul-2018	99.2
throwing_knives is a weapon	1111	06-jul-2018	99.9
grand_lake is a lake in the state or province oklahoma	1116	12-sep-2018	99.6
playboy_enterprises_international is a company headquartered in the city new_york	1116	12-sep-2018	100.0
n3 is the number of people killed in the event boston_marathon_bombings	1116	12-sep-2018	100.0
green_park is a park in the city central_london	1116	12-sep-2018	100.0
smell is a subpart of the body within system	1111	06-jul-2018	96.9