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
n11_07__09 is a term used by physicists	1111	06-jul-2018	91.7
linda_richard is a politician	1111	06-jul-2018	91.3
law_suite is a kind of room	1111	06-jul-2018	90.8
carmen_mcrae is a musician	1111	06-jul-2018	92.9
dressing_room_walls is something found in or on buildings	1111	06-jul-2018	99.0
dodger_stadium is the home venue for the sports team time_the_dodgers	1116	12-sep-2018	100.0
kansas_city_international is an attraction that will be fall in city kansas_city	1116	12-sep-2018	99.6
gabriel_wharf is a tourist attraction in the city central_london	1116	12-sep-2018	100.0
nicholas_kristof is a journalist that writes for the publication new_york_times	1113	15-aug-2018	100.0
argentina is a country located in the geopolitical location south_america	1111	06-jul-2018	99.9