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
bestwestern_com is a retail store	1111	06-jul-2018	100.0
contemporary_pop_rock is a genre of music	1111	06-jul-2018	99.0
financial_post_section is a publication	1111	06-jul-2018	90.9
barcelo_sants_hotel is a place to ski	1111	06-jul-2018	97.2
radio_orient is an item often found in a bedroom	1111	06-jul-2018	99.8
us_dept is an organization also known as administration	1113	15-aug-2018	93.8
los_angeles_ca is a synonym for la	1111	06-jul-2018	98.4
crabs is a type of crustaceans	1114	25-aug-2018	100.0
the country saint_helena uses the currency pounds	1116	12-sep-2018	100.0
chevrolet is a specific automobile maker dealer in baltimore	1114	25-aug-2018	98.4