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
n6_9_percentage_points is a machine-learning algorithm	1111	06-jul-2018	99.7
jemimah_goosen is a fashion model	1111	06-jul-2018	100.0
big_brush_cave is a cave	1111	06-jul-2018	100.0
jelly_beans__sunkist_lemon is a kind of candy	1111	06-jul-2018	98.5
african_american_architect is an architect	1111	06-jul-2018	100.0
the companies newark_star_ledger and new_york compete with eachother	1111	06-jul-2018	99.6
sega is related to super_nintendo	1114	25-aug-2018	99.6
paul_watson belongs to the ethnic group canadian	1116	12-sep-2018	100.0
h__pylori is a bacteria that causes stomach_ulcers	1115	03-sep-2018	99.0
john_bonham is a person who died on the date n1980	1116	12-sep-2018	100.0