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
vintage_engineering is an academic field	1111	06-jul-2018	98.0
mis_asia is a publication	1111	06-jul-2018	90.7
large_triangles is a geometric shape	1111	06-jul-2018	92.3
express_access is a building	1111	06-jul-2018	96.2
beatrix_potter is a European person	1111	06-jul-2018	99.6
texas_instruments_incorporated is a company also known as ti	1113	15-aug-2018	93.8
kent_mercker is an athlete that flied out to position center	1111	06-jul-2018	100.0
national is a company that has an office in the country egypt	1114	25-aug-2018	100.0
the sports team new_york_mets was the winner of first_world_series	1116	12-sep-2018	96.9
agassi is an athlete who wins u_s__open	1114	25-aug-2018	100.0