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
hoskins_airport is a transportation port	1111	06-jul-2018	100.0
haskell_new_jersey is an island	1111	06-jul-2018	97.6
war_eagle_cave is a cave	1111	06-jul-2018	100.0
two_netizens is a parlour game	1111	06-jul-2018	91.5
deployment_capacity is a character trait	1111	06-jul-2018	99.6
michel_therrien coaches the team pittsburgh_penguins	1116	12-sep-2018	100.0
formula_one is a sport with fans in the country us	1115	03-sep-2018	100.0
state_university is an organization also known as north_texas_state	1112	24-jul-2018	93.8
johnson001 is a musician who plays the piano	1114	25-aug-2018	93.8
subaru makes the automobile subaru_impreza	1114	25-aug-2018	96.9