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
n05_15_2006 is a date	1111	06-jul-2018	100.0
n27_km is a parlour game	1111	06-jul-2018	100.0
helena_road is a street	1111	06-jul-2018	100.0
party_democratique_du_benin is a political party	1112	24-jul-2018	100.0
port_of_quanzhou is a transportation port	1111	06-jul-2018	100.0
shedd_aquarium is an aquarium in the city chicago_south	1116	12-sep-2018	100.0
arizona_daily_star is a newspaper in the city tucson	1116	12-sep-2018	96.9
bed is often found in style_room	1111	06-jul-2018	100.0
president_george is a person who has residence in the geopolitical location us	1115	03-sep-2018	100.0
richard is a U.S. politician who holds the office of president	1116	12-sep-2018	100.0