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
public_management_program is an academic field	1111	06-jul-2018	100.0
ernest_roberts is a politician	1111	06-jul-2018	100.0
reticulated_blunthead_tree_snake is a reptile	1111	06-jul-2018	100.0
carmen_mcrae is a musician	1111	06-jul-2018	92.9
currency_investing is an economic sector	1112	24-jul-2018	100.0
the country u_s_ uses the currency dollars	1116	12-sep-2018	100.0
john_mccain is a person who has age 72	1116	12-sep-2018	100.0
brewers is an organization also known as diamondbacks	1112	24-jul-2018	98.4
nicholas_wade is a journalist that writes for the publication new_york_times	1111	06-jul-2018	99.2
boris_johnson is a person who has residence in the geopolitical location central_london	1111	06-jul-2018	100.0