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
terence_morris is a chef	1111	06-jul-2018	99.9
froots_magazine is a magazine	1111	06-jul-2018	99.9
hackensack_area is a building	1111	06-jul-2018	96.5
light_gray is a color	1111	06-jul-2018	100.0
chris_nahon is american	1111	06-jul-2018	100.0
stuart_hamm is a musician who plays the bass	1114	25-aug-2018	99.7
vivian_yu is a person who has residence in the geopolitical location los_angeles_ca	1111	06-jul-2018	100.0
national_hockey_league is an organization known by the acronym nhl	1114	25-aug-2018	100.0
gas is a chemical that is a kind of power_plants	1112	24-jul-2018	99.6
florence_nightingale has spouse mother	1116	12-sep-2018	93.8