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
rices is a fruit	1111	06-jul-2018	99.1
n6_00___7_00_pm is a time	1111	06-jul-2018	100.0
n25_hp_marine_engines is a kind of automobile engine	1111	06-jul-2018	100.0
david_rappaport is a director	1111	06-jul-2018	100.0
n77_years is a visualizable object	1111	06-jul-2018	98.6
deutsche_bank is a bank that has josef_ackermann as its CEO	1116	12-sep-2018	100.0
andrew_grove is a top member of intel	1116	12-sep-2018	93.8
salmon is a fish that can be served with the food introduction in a meal (or dish)	1116	12-sep-2018	99.9
criminals is a generalization of president_bill_clinton001	1116	12-sep-2018	100.0
area looks like tv	1114	25-aug-2018	100.0