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
diamond_silver is a visualizable attribute	1111	06-jul-2018	92.9
pickled_cabbage is an agricultural product	1111	06-jul-2018	98.7
games_success is an event outcome	1111	06-jul-2018	90.8
generous_dining_room is a kind of room	1111	06-jul-2018	99.5
fritz_feld is a commedian	1111	06-jul-2018	98.1
grand_teton is a mountain in the state or province wyoming	1116	12-sep-2018	100.0
blaine_boyer plays the sport baseball	1116	12-sep-2018	99.6
randy_wolf is an athlete that flied out to position center	1111	06-jul-2018	100.0
moses is the father of abram	1116	12-sep-2018	93.8
the country u_s_ uses the currency dollars	1116	12-sep-2018	100.0