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
american_computer is an item found on a table	1111	06-jul-2018	99.9
bright_white is a color	1111	06-jul-2018	100.0
boyaca_department is a state or a province	1111	06-jul-2018	98.4
patellar_ligament is a part of the body	1111	06-jul-2018	97.4
una_interpretaci is a currency	1111	06-jul-2018	99.8
calhoun works for uconn	1111	06-jul-2018	93.8
route is a street in the city boston	1116	12-sep-2018	100.0
scott is an athlete who injured his/her arms	1115	03-sep-2018	100.0
t_j__ford is a person also known as t__j__ford	1113	15-aug-2018	100.0
sills was born in the city cleveland	1116	12-sep-2018	100.0