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
shodokan_aikido is a sport	1111	06-jul-2018	100.0
characters_software is a tool	1112	24-jul-2018	99.0
n10_11_2003 is a dataset used within the scientific field of machine learning	1111	06-jul-2018	100.0
niue is a country	1111	06-jul-2018	98.4
two_netizens is a parlour game	1111	06-jul-2018	91.5
chicken is an animal that eats adobo	1112	24-jul-2018	96.9
eve and adam are family members	1111	06-jul-2018	99.6
varieties is an agricultural product produced in __america	1116	12-sep-2018	100.0
new_york terminated the employment of rudy_giuliani	1114	25-aug-2018	100.0
high_street is a street in the city edinburgh	1116	12-sep-2018	100.0