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
roy_ray is a professor	1111	06-jul-2018	91.2
richard_dale is a male	1111	06-jul-2018	90.2
reference_room is a kind of room	1111	06-jul-2018	99.9
domfront is a city	1111	06-jul-2018	99.7
lake_four is a tourist attraction	1111	06-jul-2018	95.7
dan graduated from state	1112	24-jul-2018	93.8
ron_grant is the CEO of aol_video	1116	12-sep-2018	99.9
the country hong_kong uses the currency dollars	1116	12-sep-2018	99.8
lord has brother israel	1113	15-aug-2018	100.0
proton is a specific automobile maker dealer in _uk	1116	12-sep-2018	99.2