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
mount_murray is a mountain	1111	06-jul-2018	100.0
joshua_malina is a fashion model	1111	06-jul-2018	100.0
butter_buds is a visualizable object	1111	06-jul-2018	100.0
enforcedness is an emotion	1111	06-jul-2018	97.8
advisory_council is a professional organization	1111	06-jul-2018	99.9
eve has spouse creation	1116	12-sep-2018	100.0
family looks like television	1115	03-sep-2018	100.0
national is a company that has an office in the country italy	1114	25-aug-2018	100.0
baseball_players is a generalization of carlos_santana	1116	12-sep-2018	98.4
chad_pennington is an athlete who led new_york_jets	1116	12-sep-2018	100.0