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
heart_crab is a crustacean	1111	06-jul-2018	99.7
horse_riding_horse_riding is a hobby	1111	06-jul-2018	99.6
onsite_meeting is a perception action	1111	06-jul-2018	95.7
los_vientos is a currency	1111	06-jul-2018	100.0
v_e_p is a programming language	1111	06-jul-2018	97.8
leg a muscle located in bodypart leg	1115	03-sep-2018	93.8
andy_roddick is an athlete who wins wimbledon	1113	15-aug-2018	98.4
dieter_zetsche is the CEO of the automobile maker company daimler_benz	1116	12-sep-2018	100.0
jacob is the parent of lt__joseph_r__hunt	1115	03-sep-2018	90.7
the home stadium of ryan_theriot is wrigley_field	1116	12-sep-2018	100.0