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
the_livingston_enterprise is a political blog	1111	06-jul-2018	99.6
poker_holdm_poker is a cardgame	1111	06-jul-2018	90.6
n1945___1956 is a year	1111	06-jul-2018	100.0
menos is a currency	1111	06-jul-2018	97.5
livange is a visualizable scene	1111	06-jul-2018	99.3
venus_williams is an athlete who beat serena_williams	1114	25-aug-2018	100.0
sydney_airport is a generalization of temple_of_the_reclining_buddha	1112	24-jul-2018	100.0
american_history is a type of science	1113	15-aug-2018	93.8
mike_jackson held the position of chief_executive	1115	03-sep-2018	100.0
tom_bates is the leader of the city berkeley	1116	12-sep-2018	94.4