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
huertas is a currency	1111	06-jul-2018	99.8
andrea_barrett is a female	1111	06-jul-2018	100.0
original_chicken is a type of meat	1111	06-jul-2018	100.0
n2_8_percent is a machine-learning algorithm	1111	06-jul-2018	99.3
special_education_consultant is a kind of office held by a politician	1111	06-jul-2018	100.0
loose_fitting_clothing is a clothing item to go with hat	1111	06-jul-2018	93.8
real_madrid has spouse david002	1116	12-sep-2018	93.8
salmon_steaks is a fish that can be served with the food sauce in a meal (or dish)	1115	03-sep-2018	100.0
republican is a person who has residence in the geopolitical location new_york	1114	25-aug-2018	93.9
jason_motte is an athlete that flied out to position center	1111	06-jul-2018	100.0