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
sue_hayes is a fashion model	1111	06-jul-2018	91.2
clopay_overhead_doors is something found in or on buildings	1111	06-jul-2018	98.6
choice_one_community_federal_credit_union is a credit union	1111	06-jul-2018	100.0
term_warming is an arthropod	1111	06-jul-2018	90.8
n32_36 is a machine-learning algorithm	1111	06-jul-2018	99.4
ritchie has wife madonna	1116	12-sep-2018	100.0
dodge is a specific automobile maker dealer in connecticut	1115	03-sep-2018	93.8
link looks like cable	1112	24-jul-2018	98.4
latin is a language used in the university national_autonomous_university	1114	25-aug-2018	93.8
football_players is a generalization of matt_schaub	1111	06-jul-2018	100.0