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
united_states_senate_subcommittee is a political organization that is not part of the government	1111	06-jul-2018	100.0
view_images is form of visual art	1111	06-jul-2018	98.3
creative_valentine is a European person	1111	06-jul-2018	100.0
rilett_s_salamander is an amphibian	1111	06-jul-2018	100.0
patti_williams is a professor	1111	06-jul-2018	90.9
randall_l__stephenson is the CEO of at_t	1116	12-sep-2018	98.4
grady_memorial is a hospital in the city atlanta	1116	12-sep-2018	100.0
receiver looks like display001	1111	06-jul-2018	93.8
salmon is a fish that can be served with the food introduction in a meal (or dish)	1116	12-sep-2018	99.9
nissan is a company that produces versa	1114	25-aug-2018	100.0