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
western_nc_nature_center is a zoo	1111	06-jul-2018	99.7
court_oct_ is a part of the government	1111	06-jul-2018	94.0
n3_700 is a machine-learning algorithm	1111	06-jul-2018	98.9
prescription_rates is a muscle	1111	06-jul-2018	100.0
n2_00___4_00_pm is a time	1112	24-jul-2018	100.0
human_powered_data_management occurrs in the room n6115	1116	12-sep-2018	100.0
ertapenem is a drug worked on by merck	1114	25-aug-2018	100.0
barack is a U.S. politician who holds the office of us_senator	1116	12-sep-2018	100.0
kayaking is a sport with fans in the country __america	1116	12-sep-2018	100.0
hilary_clinton is a U.S. politician endorsed by the U.S. politician biden	1112	24-jul-2018	100.0