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
n14_1_this_agreement is a legislative bill	1111	06-jul-2018	95.1
micke_waldung_zoo is a zoo	1111	06-jul-2018	99.8
bath_community is an item often found in a bathroom	1111	06-jul-2018	99.9
floor_turn is a household item	1111	06-jul-2018	91.4
mezas_restaurant is a restaurant	1111	06-jul-2018	100.0
kick is a person who has residence in the geopolitical location state001	1116	12-sep-2018	100.0
gabrielle has spouse john	1116	12-sep-2018	93.8
temple was born in the city salt_lake	1116	12-sep-2018	100.0
pueblo_zoo is a zoo in the city pueblo	1116	12-sep-2018	100.0
black_pepper is an agricultural product that is usually cooked with herbs	1114	25-aug-2018	100.0