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
peugeot_307_136_hdi_xsi is a kind of vehicle	1111	06-jul-2018	99.9
emporia_state_university is a sports team	1111	06-jul-2018	100.0
n6_30_10_30_p_m_ is a time	1112	24-jul-2018	100.0
soap_dish is an item found on a table	1111	06-jul-2018	99.5
information_additional_details is a scientific term	1111	06-jul-2018	100.0
roddick is an athlete who wins australian_open	1116	12-sep-2018	96.9
air_zimbabwe is headquartered in the country zimbabwe	1116	12-sep-2018	100.0
large_herds is a generalization of elk	1111	06-jul-2018	98.4
st__louis_cardinals is a sports team that plays the sport baseball	1116	12-sep-2018	100.0
spielberg directed the movie saving_private_ryan	1114	25-aug-2018	97.0