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
manhattan_assocs_inc is a biotech company	1111	06-jul-2018	100.0
right_lateral_aspect is a part of the body	1111	06-jul-2018	92.3
heather_angel is a fashion model	1111	06-jul-2018	100.0
keel_bellied_water_snake is a reptile	1111	06-jul-2018	100.0
rush_county is an airport	1111	06-jul-2018	100.0
dwayne_bowe and tony_gonzalez are teammates	1111	06-jul-2018	93.8
hayes is a politician who holds the office of secretary	1111	06-jul-2018	100.0
china is a country located in the geopolitical location developed_countries	1111	06-jul-2018	93.8
austria is a generalization of eastern_european_countries	1115	03-sep-2018	100.0
lincoln makes the automobile navigator	1114	25-aug-2018	100.0