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
interface_accessiblecomponent_parameters is a machine-learning conference	1111	06-jul-2018	98.1
the_folsom_telegraph is a political blog	1111	06-jul-2018	99.7
recipe_eggplant_noodles is a recipe	1111	06-jul-2018	99.6
battle_of_kissou_ is a military conflict	1111	06-jul-2018	100.0
first_female_secretary is a job position	1111	06-jul-2018	98.4
joe_vitt coaches the team new_orleans_saints	1116	12-sep-2018	100.0
pujols is an athlete coached by ramirez	1116	12-sep-2018	100.0
dish_network has acquired blockbuster_express	1114	25-aug-2018	93.8
uk_guardian is a newspaper in the city new_york	1116	12-sep-2018	100.0
salve_regina_university is a sports team that plays in the league international	1116	12-sep-2018	96.9