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
soldier_s_monument is a monument	1111	06-jul-2018	99.9
right_dorsal_aorta is an artery	1111	06-jul-2018	99.7
guadeloupe_food is a food	1111	06-jul-2018	98.3
henri_lefebvre is a male	1111	06-jul-2018	90.7
cerebellar_corpus is a kind of brain tissue	1111	06-jul-2018	96.4
triangle has shape circumcircle	1112	24-jul-2018	93.8
jared and enoch are family members	1113	15-aug-2018	100.0
professional_sports is a sport with fans in the country __america	1116	12-sep-2018	100.0
border_patrol is headquartered in the country u_s_	1116	12-sep-2018	99.6
cows refers to more than one large_herd	1112	24-jul-2018	93.8