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
n2001_04_13 is a year	1111	06-jul-2018	100.0
serving_plate is an item found on a table	1111	06-jul-2018	99.9
citizen_rights is a socio-political term	1111	06-jul-2018	95.8
casino_roulette_games is a non-sports, non-electronic game	1111	06-jul-2018	95.4
n2003_regulations is a legislative bill	1111	06-jul-2018	100.0
families is an animal that eats milk	1115	03-sep-2018	96.9
n42 is the number of people injured in the event n2000_nicaragua_earthquake	1116	12-sep-2018	100.0
english is the language of the country gambia	1114	25-aug-2018	99.2
wake_forest is an organization also known as state	1111	06-jul-2018	93.8
baseball is a sport with fans in the country u_s_	1116	12-sep-2018	99.2