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
ventral_white_commissure is a kind of brain tissue	1111	06-jul-2018	98.9
alfred_bohrmann is a monarch	1111	06-jul-2018	96.5
banana_blues_shoes is a kind of clothing	1111	06-jul-2018	100.0
north_new_territories is a state or a province	1111	06-jul-2018	98.4
leung_po_chi is an Asian person	1111	06-jul-2018	99.9
murray_chass is a journalist that writes for the publication new_york_times	1112	24-jul-2018	100.0
angie has husband scott	1116	12-sep-2018	100.0
goldman_sachs is a company headquartered in the city nueva_york	1116	12-sep-2018	100.0
r_t__rybak is the leader of the city minneapolis	1116	12-sep-2018	100.0
display001 looks like n1_8_inch	1114	25-aug-2018	99.9