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
col_nac__de_san_francisco is a South American person	1111	06-jul-2018	91.8
glass_backdrop is a household item	1111	06-jul-2018	93.8
first_diesel is a refinery product	1111	06-jul-2018	90.9
abmaxis_inc is a biotech company	1111	06-jul-2018	100.0
harvey_walbanger_cake is a baked good	1111	06-jul-2018	100.0
the country india uses the currency rupees	1116	12-sep-2018	100.0
eve is the parent of cain	1111	06-jul-2018	98.1
spielberg directed the movie e_t_	1114	25-aug-2018	95.1
falcons is a sports team also known as redskins	1112	24-jul-2018	98.4
stephen_green works for hsbc	1111	06-jul-2018	100.0