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
n30601 is a ZIP code	1111	06-jul-2018	99.4
mount_murray is a mountain	1111	06-jul-2018	100.0
nicole_krauss is a person	1111	06-jul-2018	100.0
committee_director is a profession	1111	06-jul-2018	96.2
lifestyles_magazine is a newspaper	1111	06-jul-2018	100.0
ronald_reagan_national_airport is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0
emperor has citizenship in the country germany	1112	24-jul-2018	100.0
gov__sarah_palin is a U.S. politician endorsed by the U.S. politician sen__john_mccain	1113	15-aug-2018	100.0
the home stadium of rich_harden is wrigley_field	1116	12-sep-2018	100.0
the companies financial and bbc001 compete with eachother	1111	06-jul-2018	98.4