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
brigham_young_museum_of_art is a museum	1111	06-jul-2018	100.0
zoo_parc_d_amiens is a zoo	1111	06-jul-2018	99.8
phi_mu_epsilon is a professional organization	1111	06-jul-2018	92.8
gadsden_jeep is an automobile manufacturer	1111	06-jul-2018	94.9
rugged_coves can be a part of a landscape	1111	06-jul-2018	99.0
the country seychelles uses the currency rupees	1116	12-sep-2018	100.0
larry_hughes is an athlete who led chicago_bulls	1116	12-sep-2018	96.9
budapest is the capital city of the country hungary	1116	12-sep-2018	96.9
dravidian_language is the language of the country india	1115	03-sep-2018	93.8
alexander has citizenship in the country russia	1113	15-aug-2018	99.6