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
buffalo_river_area is a monument	1111	06-jul-2018	99.9
one_diesel is a refinery product	1113	15-aug-2018	91.5
creative_commons_attribution_share_alike_2_5_sweden_license is a convention	1111	06-jul-2018	93.5
arthritic_pain is a disease	1111	06-jul-2018	100.0
eva_fikarova is a fashion model	1111	06-jul-2018	100.0
memphis_grizzlies is a sports team that played in series	1113	15-aug-2018	98.4
father is the parent of lord	1115	03-sep-2018	100.0
the sport baseball was played at n1966_world_series	1116	12-sep-2018	100.0
barack_obama and michelle_obama are family members	1111	06-jul-2018	93.8
france_france is a country located in the geopolitical location foreign_countries	1112	24-jul-2018	100.0