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
n1805_1806 is a year	1111	06-jul-2018	100.0
tony_bradman is a European person	1111	06-jul-2018	100.0
southern_mexican_gartersnake is a reptile	1111	06-jul-2018	100.0
defenders_magazine is a magazine	1111	06-jul-2018	99.9
araneus_angustatus is an arachnid	1111	06-jul-2018	100.0
arthropods is called arachnids	1111	06-jul-2018	100.0
meryl_streep starred in the movie sophie_s_choice	1115	03-sep-2018	100.0
cabbage is related to china	1111	06-jul-2018	100.0
the sport baseball was played at n1950_world_series	1116	12-sep-2018	100.0
barry_switzer is a sports coach also known as bill_parcells	1116	12-sep-2018	93.8