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
times_press is a newspaper	1111	06-jul-2018	100.0
rivoli_restaurant is a restaurant	1111	06-jul-2018	100.0
liberties_education is a political issue	1111	06-jul-2018	92.9
investment_period is an economic sector	1112	24-jul-2018	99.9
family_bathrooms is an office building room	1111	06-jul-2018	99.2
rajiv_chandrasekaran is a person who was written about in the_depository_trust___clearing_corporation__dtcc_	1116	12-sep-2018	100.0
shower is often found in indoor_bathroom	1111	06-jul-2018	93.8
derrick_brooks is a person also known as denard_span	1115	03-sep-2018	100.0
kiro_am is a radio station in the city seattle	1116	12-sep-2018	98.4
spencer_pratt has wife heidi	1116	12-sep-2018	99.6