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
bayonne_hotels is a park	1111	06-jul-2018	92.5
albert_b__douglas is a monarch	1111	06-jul-2018	98.0
isopropyl_ether_peroxide is a chemical	1111	06-jul-2018	100.0
mike_gorzalka is an African person	1111	06-jul-2018	91.1
carotid_artery_lumen is an artery	1111	06-jul-2018	99.5
college is an organization also known as southern	1111	06-jul-2018	99.6
soccer is a sport taught in the country south_africa	1116	12-sep-2018	99.9
caroline_kennedy is a U.S. politician who holds the office of u_s__senator	1116	12-sep-2018	93.8
venus_williams is an athlete who beat martina_hingis	1114	25-aug-2018	100.0
vermont is a state that is bordered by the state washington	1113	15-aug-2018	93.8