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
science__ is a hobby	1111	06-jul-2018	100.0
rory_kennedy is a U.S. politician	1111	06-jul-2018	99.9
maple_springs_bible_baptist_college___seminary is a train station	1111	06-jul-2018	99.6
san_diego_metropolitan_magazine is a company	1111	06-jul-2018	100.0
discovery_girls is a publication	1111	06-jul-2018	91.7
amy_winehouse has wife britney	1116	12-sep-2018	93.8
european_countries is a generalization of spain	1116	12-sep-2018	100.0
cows is an animal that eats dinner	1116	12-sep-2018	100.0
mistral_restaurant is a restaurant in the city los_angeles_ca	1116	12-sep-2018	100.0
prince has citizenship in the country france_france	1114	25-aug-2018	100.0