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
peter_mahovlich coaches a sports team	1111	06-jul-2018	94.9
mahalapye is a city	1111	06-jul-2018	99.8
princess_sthanie is a director	1111	06-jul-2018	90.6
indo_pacific_bonefish is a fish	1111	06-jul-2018	100.0
narcotic_drugs_and_psychotropic_substances is a legislative bill	1111	06-jul-2018	90.7
baker_berry_library is related to dartmouth	1116	12-sep-2018	100.0
south_east_asia is a synonym for china	1111	06-jul-2018	93.8
dodge is a specific automobile maker dealer in connecticut	1115	03-sep-2018	93.8
soccer is a sport taught in the country __america	1116	12-sep-2018	100.0
abraham is the father of leah	1116	12-sep-2018	96.9