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
public_eye_magazine is a publication	1111	06-jul-2018	91.4
answers_magazine is a magazine	1111	06-jul-2018	99.8
seasickness is a physical characteristic	1111	06-jul-2018	100.0
kokoe_pa_poison_dart_frog is an amphibian	1111	06-jul-2018	100.0
premeditated_homicide ia a crime or charge	1111	06-jul-2018	96.2
young represents the region states	1115	03-sep-2018	98.4
european_nations is a generalization of spain	1115	03-sep-2018	99.2
yugoslav_federation is a country located in the geopolitical location serbia	1111	06-jul-2018	93.8
dragonflies is an animal that preys on bugs	1111	06-jul-2018	93.8
national is a bank that bought barclays	1114	25-aug-2018	100.0