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
cadherin_5 is a protein	1111	06-jul-2018	100.0
people_s_democratic_rights is a socio-political term	1111	06-jul-2018	95.6
subaru_2_2l_engines is a kind of automobile engine	1111	06-jul-2018	100.0
judge_jeremy_richards is a judge	1111	06-jul-2018	96.9
seperate_shower_room is an item often found in a bathroom	1111	06-jul-2018	100.0
air_france has acquired klm	1114	25-aug-2018	98.4
shanghai is a city located in the country china	1116	12-sep-2018	100.0
synthroid is a drug worked on by abbot_laboratories	1114	25-aug-2018	96.9
the sports team new_england_patriots was the winner of super_bowl_xxxviii	1116	12-sep-2018	93.8
mike_macdougal is an athlete that flied out to position center	1111	06-jul-2018	100.0