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
wonder_cave is a cave	1111	06-jul-2018	100.0
the_bills is a musical artist	1111	06-jul-2018	99.6
humen_pearl_river_bridge is a bridge	1111	06-jul-2018	97.7
bear_creek_canoeing is a hobby	1111	06-jul-2018	99.2
anne_perry is a European person	1111	06-jul-2018	100.0
incheon_international is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0
jordan_danks is an athlete who injured his/her hands	1113	15-aug-2018	100.0
thome is an athlete who wins world_series	1116	12-sep-2018	100.0
football_players is a generalization of quarterback_brett_favre	1115	03-sep-2018	100.0
standard_chartered is a company that has an office in the country china	1114	25-aug-2018	93.8