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
choctawhatchee_darter is a fish	1111	06-jul-2018	100.0
der_leichte_landk_se_cheese is a cheese	1111	06-jul-2018	93.0
n4_05 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
ickp is a conference	1111	06-jul-2018	99.3
green_door is an item often found in a hallway	1111	06-jul-2018	100.0
eminem is a musician in the genre rap	1113	15-aug-2018	98.3
boards is a synonym for groups	1111	06-jul-2018	98.4
national is a bank that bought state_bank_of_saurashtra	1114	25-aug-2018	100.0
jeffrey_r__immelt held the position of brand_manager	1113	15-aug-2018	100.0
soya is an agricultural product produced in china	1111	06-jul-2018	93.8