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
center_preservation is a sports team position	1112	24-jul-2018	98.5
louga is a state or a province	1111	06-jul-2018	96.9
ex_led_zeppelin is a musical artist	1111	06-jul-2018	98.9
tiny_blood_capillaries is a part of the body	1111	06-jul-2018	96.8
jose_bergamin is a journalist	1111	06-jul-2018	100.0
hussein_kamel died in the country iraq	1116	12-sep-2018	100.0
snails is an animal that eats algae	1113	15-aug-2018	100.0
the home stadium of glenn_hall is wrigley_field	1116	12-sep-2018	100.0
the sport baseball was played at n2004_world_series	1116	12-sep-2018	100.0
michael_moore directed the movie bowling_for_columbine	1115	03-sep-2018	93.8