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
glass_french_door is something found in or on buildings	1111	06-jul-2018	98.3
n6_20 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
n2007_ford_ranger is a kind of vehicle	1111	06-jul-2018	99.9
black_hynobiid_salamander is an amphibian	1111	06-jul-2018	100.0
first_awareness is a character trait	1111	06-jul-2018	99.4
white_mountain_peak is related to north_america	1111	06-jul-2018	100.0
farmorubicin is a drug worked on by pfizer	1114	25-aug-2018	100.0
richt works for georgia	1111	06-jul-2018	99.2
sponges is a type of sea_creatures	1113	15-aug-2018	100.0
mirage_casino is a tourist attraction in the city las_vegas	1116	12-sep-2018	98.4