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
strawberrys is a visualizable thing	1111	06-jul-2018	95.5
alcohol_induced_hypertension is a disease	1111	06-jul-2018	100.0
enriched_refined_grain is a grain	1111	06-jul-2018	90.3
randolph_street is a street	1111	06-jul-2018	100.0
high_tech_arms is a weapon	1111	06-jul-2018	96.9
pete_sampras is an athlete who beat agassi	1114	25-aug-2018	100.0
eve has spouse creation	1116	12-sep-2018	100.0
finance_committee is a synonym for board	1111	06-jul-2018	93.8
bulbs is an agricultural product produced in __america	1116	12-sep-2018	100.0
president_reagan is a U.S. politician endorsed by the U.S. politician george_h_w__bush	1112	24-jul-2018	96.9