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
cool_valentine is a European person	1111	06-jul-2018	100.0
supplemental_dental_insurance is an economic sector	1112	24-jul-2018	99.8
n1__cups is an item found in the kitchen	1111	06-jul-2018	99.4
quintus___montreal_italian_film_festival is a film festival	1111	06-jul-2018	100.0
santa_ana_city is a building	1111	06-jul-2018	92.0
hartford_connecticut is the capital city of the state or province connecticut	1116	12-sep-2018	100.0
agassi is an athlete who wins u_s__open	1114	25-aug-2018	100.0
public is an organization dissolved at the date april	1113	15-aug-2018	96.9
dc terminated the employment of ty_willingham	1113	15-aug-2018	100.0
trees is a plant that is a kind of shrubbery	1111	06-jul-2018	98.4