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
right_aorta is an artery	1111	06-jul-2018	99.7
folk_thrash_metal is a genre of music	1111	06-jul-2018	98.9
renal_physiology is an academic field	1111	06-jul-2018	100.0
northeast_state_technical_community_college is a sports team	1111	06-jul-2018	100.0
yesterday_s_elections is an election	1111	06-jul-2018	96.1
liquidity_crisis happened on the date n2007	1116	12-sep-2018	100.0
child and blessed_virgin are family members	1111	06-jul-2018	100.0
el_mensajero is a newspaper in the city san_francisco	1116	12-sep-2018	100.0
stephanie_rawlings_blake is the leader of the city baltimore	1116	12-sep-2018	100.0
scott_feldman plays for the team rangers	1116	12-sep-2018	96.9