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
revelcon is a convention	1111	06-jul-2018	99.9
saline_solution is a visualizable object	1111	06-jul-2018	99.0
tammy_hudson is a writer	1111	06-jul-2018	91.6
field_home is a location	1111	06-jul-2018	98.9
neurokinin_receptor_antagonists is an archaeon	1111	06-jul-2018	94.7
tony_gonzalez and dwayne_bowe are teammates	1111	06-jul-2018	93.8
abby and mary are siblings	1114	25-aug-2018	93.8
graduate is headquartered in the country u_s_	1116	12-sep-2018	98.4
bangui is a city that lies on the river ubangi	1112	24-jul-2018	93.8
children is an animal that can develop disorders_face	1111	06-jul-2018	93.8