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
lodge_at_big_falls is a hotel	1111	06-jul-2018	94.5
reccomending is a physical action	1111	06-jul-2018	94.1
shiraz_zinfandel is a wine	1111	06-jul-2018	98.6
andreas_g__hofmann is an author in the scientific field of machine learning	1111	06-jul-2018	99.9
perhentian_islands can be a part of a landscape	1111	06-jul-2018	99.3
oregon is a state that is bordered by the state washington	1113	15-aug-2018	100.0
agassi is an athlete who beat williams	1114	25-aug-2018	99.2
cathy has husband jobs	1116	12-sep-2018	96.9
tarantulas is a synonym for spiders	1111	06-jul-2018	93.8
the country south_africa uses the currency rand	1116	12-sep-2018	100.0