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
simon_king is an African person	1111	06-jul-2018	99.2
whole_bottle is a visualizable object	1111	06-jul-2018	98.7
iclx is a conference	1111	06-jul-2018	98.7
between_the_lines is a musical album	1111	06-jul-2018	99.9
coach_belichick coaches a sports team	1111	06-jul-2018	100.0
nissan is a specific automobile maker dealer in mission	1114	25-aug-2018	100.0
dc terminated the employment of ty_willingham	1113	15-aug-2018	100.0
countrywide is a bank that has angelo_r__mozilo as its CEO	1116	12-sep-2018	93.8
hindi is the language of the country india	1115	03-sep-2018	100.0
the companies chronicle and herald compete with eachother	1111	06-jul-2018	93.8