Read the Web :: Carnegie Mellon University

NELL: Never-Ending Language Learning

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.

instance	iteration	date learned	confidence
bath_tub_doors is something found in or on buildings	1111	06-jul-2018	98.5
cream_ridge_winery is a winery	1111	06-jul-2018	100.0
jefferson_community_college___watertown is a train station	1111	06-jul-2018	99.7
florence_dupont_employees__federal_credit_union is a credit union	1111	06-jul-2018	100.0
hotel_india is a hotel	1111	06-jul-2018	98.3

maryland is a sate or province located in the country south_korea	1116	12-sep-2018	100.0
john_quincy_adams is a person born on the date n1825	1116	12-sep-2018	100.0
sports is a generalization of country_skiing	1113	15-aug-2018	93.8
felipe_alou is the parent of moises_alou	1115	03-sep-2018	98.4
telecommunication is a type of science	1111	06-jul-2018	96.9

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts