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
hb_1634 is a drug	1111	06-jul-2018	93.3
tony_dunbar is a professor	1111	06-jul-2018	91.2
n10_55_pm_0_comments is a dataset used within the scientific field of machine learning	1111	06-jul-2018	93.8
spanish_speaking_students is a victim	1111	06-jul-2018	100.0
sea_beaches can be a part of a landscape	1111	06-jul-2018	98.7
john_bonham is a musician who is part of led_zeppelin	1115	03-sep-2018	100.0
don_shula coaches in the league nfl	1116	12-sep-2018	100.0
leda is the mother of castor	1115	03-sep-2018	100.0
nicorette_gum is expected to come to market on earlier_in_the_year	1116	12-sep-2018	100.0
n8102 is a room in the building gates_and_hillman_centers	1116	12-sep-2018	100.0