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
manuel_falces is a South American person	1111	06-jul-2018	94.3
gummi_bear is a kind of candy	1111	06-jul-2018	99.2
woodman_s_markets is a retail store	1111	06-jul-2018	99.4
future_football is a hobby	1111	06-jul-2018	99.6
psp_hockey_games is a consumer electronic device	1111	06-jul-2018	99.9
aurora_garden_hotel is a hotel in the city rome	1116	12-sep-2018	100.0
al_arish is a city located in the geopolitical location egypt	1112	24-jul-2018	93.8
sheep is an animal that preys on larger_animals	1112	24-jul-2018	93.8
new_orleans is the home city of the sports team loyola_university_new_orleans_wolfpack	1116	12-sep-2018	100.0
sigourney_weaver starred in the movie aliens	1116	12-sep-2018	100.0