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
exterior_french_door is something found in or on buildings	1111	06-jul-2018	98.6
chocolate_nest_cakes_33g_each is a kind of candy	1111	06-jul-2018	97.6
nursery_road is a street	1111	06-jul-2018	100.0
regional_table is an item found on the floor	1111	06-jul-2018	99.5
anal_sphincter is a part of the body	1111	06-jul-2018	99.9
chevron has acquired gulf_air	1114	25-aug-2018	93.8
beer is an agricultural product produced in __america	1116	12-sep-2018	98.4
arms is a type of weapon produced in yugoslav_federation	1111	06-jul-2018	99.2
r_t__rybak is the leader of the city minneapolis	1116	12-sep-2018	100.0
unicef is a company headquartered in the city nueva_york	1116	12-sep-2018	100.0