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
masters_finals is a sports game	1111	06-jul-2018	100.0
late_republic is a country	1111	06-jul-2018	96.9
ford_falcon_xd is a kind of vehicle	1111	06-jul-2018	99.6
two_fast_food is a parlour game	1111	06-jul-2018	100.0
lighted_tree is a plant	1111	06-jul-2018	99.5
display001 looks like projector	1115	03-sep-2018	100.0
onion is related to china	1111	06-jul-2018	100.0
martina_navratilova is an athlete who beat monica_seles	1114	25-aug-2018	100.0
joey_gathright plays the sport baseball	1116	12-sep-2018	97.8
jack_nicklaus_and_pete_dye is an athlete who wins masters	1114	25-aug-2018	100.0