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
poker_rights is a socio-political term	1111	06-jul-2018	94.1
bath_walls is something found in or on buildings	1111	06-jul-2018	98.9
matt_glassman is a professor	1111	06-jul-2018	90.9
carla_suarez_navarro is a female	1111	06-jul-2018	100.0
chaucer_s_choice_cheese is a cheese	1111	06-jul-2018	96.6
garcia is a politician who holds the office of president	1111	06-jul-2018	93.8
dragonflies is called insects	1111	06-jul-2018	100.0
katie_holmes has husband tom_cruise	1116	12-sep-2018	100.0
ginger is related to india	1115	03-sep-2018	100.0
pinot_brasserie is a restaurant in the city las_vegas	1116	12-sep-2018	100.0