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
wheat_flour is an agricultural product	1111	06-jul-2018	100.0
helixarionidae is a mollusk	1111	06-jul-2018	100.0
affiliated_sites is a criminal	1111	06-jul-2018	100.0
suzdal is a visualizable object	1111	06-jul-2018	99.0
ap_news is a company	1111	06-jul-2018	100.0
the sports team yankees was the winner of n2009_world_series	1116	12-sep-2018	100.0
palace is a stadium or event venue located in the city las_vegas	1116	12-sep-2018	100.0
states is a state or province located in the geopolitical location china	1111	06-jul-2018	98.4
nissan is a specific automobile maker dealer in austin	1114	25-aug-2018	100.0
the country us_ uses the currency dollars	1116	12-sep-2018	100.0