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
clean_room_doors is something found in or on buildings	1111	06-jul-2018	98.2
grey_headed_silverbill is an animal	1112	24-jul-2018	100.0
berryman_creek is a river	1111	06-jul-2018	100.0
n46_2__ is a machine-learning algorithm	1111	06-jul-2018	90.1
cremas_sierra_de_sevil_cheese is a cheese	1111	06-jul-2018	94.1
jobs is a person who moved to the state oregon	1115	03-sep-2018	100.0
soccer is a sport played in the venue wembley_stadium	1116	12-sep-2018	100.0
jim_carrey starred in the movie mask	1116	12-sep-2018	100.0
presbyterian is a hospital in the city new_york	1116	12-sep-2018	100.0
george_mitchell is a U.S. politician endorsed by the U.S. politician clinton	1113	15-aug-2018	93.8