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
santir is a musical instrument	1111	06-jul-2018	93.8
woodland_woodland_hills_woods can be a part of a landscape	1111	06-jul-2018	98.7
alfred_bohrmann is a monarch	1111	06-jul-2018	96.5
weighted_ball is sports equipment	1111	06-jul-2018	97.3
rachel_stepsen is a European person	1111	06-jul-2018	91.5
reagan_washington_national is an attraction that will be fall in city washington_d_c_	1116	12-sep-2018	100.0
animals is an animal that preys on spiders	1111	06-jul-2018	100.0
jeep is a company that produces jeep_grand_cherokee	1114	25-aug-2018	100.0
wall_street_journal is a newspaper in the city new_york	1116	12-sep-2018	100.0
new_dehli is the capital city of the country india	1116	12-sep-2018	100.0