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
university_of_phoenix_wichita_campus is a university	1111	06-jul-2018	100.0
david_cannell is a commedian	1111	06-jul-2018	90.7
talk_atlantic_records_group is a record label	1111	06-jul-2018	97.7
organic_tree is a plant	1111	06-jul-2018	99.4
fresh_halibut is a visualizable thing	1111	06-jul-2018	96.6
john_radcliffe is a hospital in the city oxford	1116	12-sep-2018	100.0
n7_30_pm is the time of the event n2000_nicaragua_earthquake	1116	12-sep-2018	100.0
israel is the parent of yeshua	1115	03-sep-2018	93.8
bombs is a type of weapon produced in israel	1114	25-aug-2018	100.0
cabbage is related to india	1115	03-sep-2018	100.0