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
wonder_cave is a cave	1111	06-jul-2018	100.0
monroe_county_judge is a judge	1111	06-jul-2018	97.9
psp_external_speakers is a consumer electronic device	1111	06-jul-2018	99.9
n10_0_percentage_points is a machine-learning algorithm	1111	06-jul-2018	90.3
redeye_wrasse is a fish	1111	06-jul-2018	100.0
baseball is a sport played in the venue ballpark_in_arlington	1115	03-sep-2018	100.0
paul001 contributed to the creative work cathedral	1114	25-aug-2018	100.0
sutent is a drug worked on by pfizer	1114	25-aug-2018	99.9
large_herds is a generalization of elk	1111	06-jul-2018	98.4
david_coleman_headley is a person who has age nonneginteger:n49	1116	12-sep-2018	100.0