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
infraspinatus_tendon is a part of the body	1111	06-jul-2018	98.5
old_bridge_gateway_shopping_center is a shopping mall	1111	06-jul-2018	100.0
n89_60 is a machine-learning algorithm	1111	06-jul-2018	99.0
indiana_county is an airport	1111	06-jul-2018	100.0
quantitative_comparisons is a visualizable attribute	1111	06-jul-2018	90.3
nenad_krstic is a person also known as tyson_chandler	1111	06-jul-2018	100.0
riverside is a city located in the geopolitical location california	1111	06-jul-2018	99.5
national is a bank that bought canara_bank	1114	25-aug-2018	100.0
jude has brother james	1116	12-sep-2018	100.0
city_suites is a hotel in the city chicago_south	1116	12-sep-2018	100.0