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
goldman_sachs is an organization	1114	25-aug-2018	100.0
imaging_printing is form of visual art	1111	06-jul-2018	98.1
fleur_des_fagnes_cheese is a cheese	1111	06-jul-2018	95.6
bergen_music_festival_norway is a music festival	1111	06-jul-2018	100.0
joseph_sweeney is an architect	1111	06-jul-2018	100.0
john_steinbeck wrote the book the_winter_of_our_discontent	1111	06-jul-2018	100.0
npr is a company that has an office in the city los_angeles_ca	1112	24-jul-2018	93.8
roddick is an athlete who wins australian_open	1116	12-sep-2018	96.9
terry_moran works for abc_news	1111	06-jul-2018	99.8
b__burgdorferi is a bacteria that causes lyme_disease	1115	03-sep-2018	93.8