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
carolyn_dunn is a fashion model	1111	06-jul-2018	100.0
ncaa_college_football is a sport	1111	06-jul-2018	100.0
new_horizon_community_credit_union is a credit union	1111	06-jul-2018	100.0
george_w__smith is a U.S. politician	1111	06-jul-2018	100.0
the_fairmont_banff_springs is a building	1111	06-jul-2018	94.0
safina is an athlete who beat williams	1114	25-aug-2018	100.0
nueva_york is a city located in the geopolitical location national	1114	25-aug-2018	100.0
honda terminated the employment of takeo_fukui	1111	06-jul-2018	100.0
nonneginteger:n48 was the winning score in super_bowl_xxxvii	1116	12-sep-2018	100.0
josephus was born in jerusalem	1116	12-sep-2018	100.0