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
more_bald_eagles is an animal	1111	06-jul-2018	90.1
chevy_truck_c3100 is a kind of vehicle	1111	06-jul-2018	99.6
kelsey_museum_of_archaeology is a museum	1111	06-jul-2018	95.4
p_anisyl_alcohol is a chemical	1111	06-jul-2018	100.0
enzyme_defects is a physiological condition	1111	06-jul-2018	92.5
contact_the_u_s__department is a synonym for administration	1111	06-jul-2018	98.4
hot_water is often found in rooms	1111	06-jul-2018	100.0
kxla is a TV station in the city los_angeles_ca	1116	12-sep-2018	100.0
expos is a sports team that plays the sport baseball	1116	12-sep-2018	96.2
george_clinton is a person who has residence in the geopolitical location new_york	1114	25-aug-2018	100.0