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
gravel_road is a street	1111	06-jul-2018	100.0
halina_bean is a legume	1111	06-jul-2018	97.9
nickel_ is a building material	1111	06-jul-2018	98.5
jersey_shield_cheese is a cheese	1111	06-jul-2018	96.2
diphacinone is a drug	1111	06-jul-2018	100.0
all_star_game is a sports game that took place on the date n2006	1116	12-sep-2018	100.0
national is a bank that bought china_construction_bank	1114	25-aug-2018	100.0
will_ohman is an athlete that flied out to position center	1111	06-jul-2018	100.0
colin_hay is a musician who is part of men_at_work	1111	06-jul-2018	96.9
greg001 is a person who has attended the school college	1111	06-jul-2018	100.0