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
elvis_mitchell is a European person	1111	06-jul-2018	100.0
uniontown_cemetery is a place of worship	1111	06-jul-2018	99.9
ivy_tech_state_college_northeast is a train station	1111	06-jul-2018	99.7
k_mart_shopping_plaza is a shopping mall	1111	06-jul-2018	100.0
carotid_artery_lumen is an artery	1111	06-jul-2018	99.5
george_w_ is a U.S. politician who holds the office of governor	1114	25-aug-2018	96.9
bradley_center is the home venue for the sports team bucks	1116	12-sep-2018	100.0
los_angeles_ca is a city also known as north_la	1111	06-jul-2018	98.4
punjabi is the language of the country canada	1116	12-sep-2018	93.8
christine_hauser is a journalist that writes for the publication times	1112	24-jul-2018	99.6