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
widespread_fungus is a fungus	1111	06-jul-2018	99.7
national_force is a terrorist organization	1111	06-jul-2018	99.8
greg_maddux is a Mexican person	1111	06-jul-2018	100.0
como_software is a tool	1111	06-jul-2018	99.1
time_the_meeting is a perception action	1111	06-jul-2018	92.3
green_park is a park in the city central_london	1116	12-sep-2018	100.0
maharastra is a sate or province located in the country india	1116	12-sep-2018	100.0
arizona_senator is a person who has age nonneginteger:n72	1116	12-sep-2018	100.0
becker graduated from state_university	1111	06-jul-2018	93.8
cleveland_cavaliers is an organization also known as chicago_bulls	1113	15-aug-2018	99.6