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
hooper_s_mouse is a mammal	1111	06-jul-2018	100.0
loudoun_hyundai is an automobile manufacturer	1111	06-jul-2018	99.8
reactor_fuel_rods is a weapon	1111	06-jul-2018	96.3
jackie_goodwin is a North American person	1111	06-jul-2018	91.5
nodulus_of_the_cerebellum is a kind of brain tissue	1111	06-jul-2018	96.3
pam_iorio is the leader of the city tampa	1116	12-sep-2018	93.8
favre plays the athletic team position player	1113	15-aug-2018	99.7
george_clinton is a person who has residence in the geopolitical location new_york	1114	25-aug-2018	100.0
john_quincy_adams is a person born on the date n1825	1116	12-sep-2018	100.0
usa is related to boston_red	1116	12-sep-2018	100.0