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
more_information_registration is a scientific term	1111	06-jul-2018	100.0
thursday_12_november is a date	1111	06-jul-2018	100.0
center_around is a sports team position	1111	06-jul-2018	98.3
boeing_the_boeing_company is a biotech company	1111	06-jul-2018	100.0
contact_leader is a book	1111	06-jul-2018	92.3
wall_street_journal is a newspaper in the city new_york	1116	12-sep-2018	100.0
joe_torre is an athlete that flied out to position center	1111	06-jul-2018	100.0
human_powered_data_management occurrs in the room n6115	1116	12-sep-2018	100.0
port_au_prince is the capital city of the country haiti	1116	12-sep-2018	100.0
jerome_k__jerome contributed to the creative work three_men_in_a_boat	1113	15-aug-2018	100.0