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
n2_5___year is a machine-learning algorithm	1111	06-jul-2018	99.4
wooden_lip_bowl is an item found in the kitchen	1111	06-jul-2018	99.2
real_estate_home is a location	1113	15-aug-2018	99.1
em_poker_for_advanced_players is a non-sports, non-electronic game	1111	06-jul-2018	100.0
andrea_barrett is a female	1111	06-jul-2018	100.0
eddie_sutton coaches the team oklahoma_state	1116	12-sep-2018	98.4
clark is a person who has attended the school state_university	1114	25-aug-2018	99.2
kgpe is a TV station in the city fresno	1116	12-sep-2018	100.0
dome is an attraction made of concrete	1111	06-jul-2018	100.0
dustin_hoffman starred in the movie graduate	1115	03-sep-2018	96.9