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
buford_georgia is an island	1111	06-jul-2018	96.8
oldsmobile_442_hurst_special is a kind of vehicle	1111	06-jul-2018	99.9
illzach is a visualizable scene	1111	06-jul-2018	99.2
the_elm is a publication	1111	06-jul-2018	91.8
pain_control_medications is an archaeon	1111	06-jul-2018	90.9
mary_mcgrory is a journalist that writes for the publication washington	1113	15-aug-2018	93.8
state_university is an organization also known as san_francisco_state	1111	06-jul-2018	99.6
black_pepper is an agricultural product that is usually cooked with oil	1114	25-aug-2018	100.0
blueberries is an agricultural product produced in __america	1116	12-sep-2018	100.0
green_park is a park in the city central_london	1116	12-sep-2018	100.0