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
n4_000_years is a non-disease physiological condition	1111	06-jul-2018	95.6
plate_windows is something found in or on buildings	1111	06-jul-2018	95.7
david_berger is a musician	1111	06-jul-2018	99.9
malaysian_star is a publication	1111	06-jul-2018	95.6
holdem_pokergame_websites is a cardgame	1111	06-jul-2018	100.0
edges has shape angle	1112	24-jul-2018	93.8
h_m_s__belfast is a tourist attraction in the city central_london	1116	12-sep-2018	100.0
sweats is a clothing item to go with tops	1111	06-jul-2018	93.8
jeep is a specific automobile maker dealer in delaware	1114	25-aug-2018	100.0
tim_burton directed the movie alice_in_wonderland	1115	03-sep-2018	99.6