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
gregory_simon is an author in the scientific field of machine learning	1111	06-jul-2018	90.8
business_reply_envelope is an office supply	1111	06-jul-2018	92.0
n2001_05_23 is a date	1111	06-jul-2018	100.0
prodotti_farmaceutici is a wine	1111	06-jul-2018	99.3
potatoes_potatoes is a fruit	1112	24-jul-2018	99.2
richard_wagoner is the CEO of the automobile maker company gm	1116	12-sep-2018	100.0
jeff_bauman was injured in the event boston_marathon_bombings	1116	12-sep-2018	100.0
chen works for youtube	1111	06-jul-2018	100.0
toilets is often found in rooms	1111	06-jul-2018	100.0
dodger_stadium is the home venue for the sports team dodgers	1116	12-sep-2018	100.0