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
ether_perfume is a chemical	1111	06-jul-2018	100.0
child_development_students is a victim	1111	06-jul-2018	100.0
master_en_suite is an office building room	1111	06-jul-2018	97.4
karen_fiala is an Australian person	1111	06-jul-2018	100.0
ichc is a conference	1111	06-jul-2018	98.7
anne_perry wrote the book funeral_in_blue	1111	06-jul-2018	100.0
eve is the parent of garden_of_eden	1111	06-jul-2018	100.0
duloxetine is expected to come to market on n2002	1116	12-sep-2018	100.0
jason_marquis is an athlete that flied out to position center	1111	06-jul-2018	100.0
lexus is a specific automobile maker dealer in texas	1114	25-aug-2018	100.0