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
warwick_street is a street	1111	06-jul-2018	100.0
number_622 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
swollen_gums_and_lymph_nodes is a lymph node	1111	06-jul-2018	99.2
windsor_connecticut is a geopolitical entity that is a location	1111	06-jul-2018	92.5
uloboridae is an arthropod	1111	06-jul-2018	98.9
kris_humphries has wife kim_kardashian	1116	12-sep-2018	100.0
arthur and lucius are siblings	1112	24-jul-2018	93.8
marc_anthony and jennifer_lopez are family members	1111	06-jul-2018	98.4
father is the parent of jesus_christ	1115	03-sep-2018	100.0
red_maples is a plant that is a kind of trees	1111	06-jul-2018	100.0