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
north_gate_shopping_center is a shopping mall	1111	06-jul-2018	100.0
stockport_car is a product	1111	06-jul-2018	92.0
n12020 is a ZIP code	1112	24-jul-2018	99.5
jack_morris is a person	1111	06-jul-2018	100.0
n09_30 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
air_zimbabwe is headquartered in the country zimbabwe	1116	12-sep-2018	100.0
robert_kennedy has brother jfk	1116	12-sep-2018	100.0
decordova is a museum in the city lincoln	1116	12-sep-2018	96.9
gene_clark is a musician who is part of byrds	1111	06-jul-2018	93.8
national_geographic_magazine is related to gary_knell	1114	25-aug-2018	100.0