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
seville_diner_restaurant is a restaurant	1111	06-jul-2018	100.0
floor_standing_shower_tap is an item often found in a bathroom	1111	06-jul-2018	99.7
amber_black is a North American person	1111	06-jul-2018	91.5
n2006___this_study is a research project	1111	06-jul-2018	98.5
santa_fe_province is a geopolitical entity that is an organization	1111	06-jul-2018	94.5
father is the parent of jesus_christ	1115	03-sep-2018	100.0
toilets is often found in rooms	1111	06-jul-2018	100.0
nintendo_ is related to game_cube	1114	25-aug-2018	100.0
houston is a city located in the geopolitical location ut	1112	24-jul-2018	92.0
aaron_rodgers coaches in the league nfl	1116	12-sep-2018	100.0