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
aluminum_clad_doors is something found in or on buildings	1111	06-jul-2018	98.2
arteria_ciliaris_anterior is an artery	1111	06-jul-2018	99.7
joseph_newman is a U.S. politician	1111	06-jul-2018	99.9
glenmore_inn is a place to ski	1111	06-jul-2018	90.1
digital_camera_magazines is a kind of media	1111	06-jul-2018	99.2
steelers is an organization also known as ravens	1113	15-aug-2018	100.0
detroit_news is related to www_detroitnews_com	1114	25-aug-2018	100.0
the country sri_lanka uses the currency rupees	1116	12-sep-2018	100.0
golf is a sport with fans in the country us	1115	03-sep-2018	100.0
yugoslav_federation participated in the event crimes	1111	06-jul-2018	96.9