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
center_suggestions is a sports team position	1111	06-jul-2018	99.3
brilliant_round is a geometric shape	1111	06-jul-2018	92.5
current_couch is a household item	1111	06-jul-2018	90.4
n140_ is a year	1111	06-jul-2018	100.0
sale_reserve is a sport	1111	06-jul-2018	100.0
william_verity died in the state or province south_carolina	1116	12-sep-2018	100.0
tomatoes is an agricultural product produced in __america	1116	12-sep-2018	98.4
ford is a company that produces gt	1114	25-aug-2018	100.0
new_orleans_international is a building located in the city new_orleans	1116	12-sep-2018	96.9
kia is a specific automobile maker dealer in south_korea	1116	12-sep-2018	100.0