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
marlboro_new_jersey is an island	1111	06-jul-2018	95.5
rounded_rectangle_are_equal is a geometric shape	1111	06-jul-2018	90.7
gatesville_restaurant is a restaurant	1111	06-jul-2018	100.0
canyon_s_edge_winery is a winery	1111	06-jul-2018	100.0
venous_vessels is an artery	1111	06-jul-2018	99.5
robert_mcnair is a person born on the date n1923	1116	12-sep-2018	100.0
anderson is a person who graduated from the university state_university	1114	25-aug-2018	100.0
arsene_wenger is a person who has age nonneginteger:n60	1116	12-sep-2018	100.0
w__bush represents the region white_house	1114	25-aug-2018	100.0
proton is a specific automobile maker dealer in _uk	1116	12-sep-2018	99.2