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
california_polytechnic_state_university is a school	1116	12-sep-2018	98.4
new_christian_movement_dla_a_new_haiti is a political party	1112	24-jul-2018	100.0
english_strawberry_trifle_cake is a baked good	1111	06-jul-2018	100.0
calumet_street is a street	1111	06-jul-2018	100.0
trademark_reporter is a publication	1111	06-jul-2018	90.6
jason_williams is an athlete coached by reggie_theus	1116	12-sep-2018	100.0
chrysler is a specific automobile maker dealer in michigan	1114	25-aug-2018	100.0
alex001 is a musician who plays the guitar	1115	03-sep-2018	93.8
the country european_countries uses the currency dollars	1116	12-sep-2018	100.0
nate_mclouth is an athlete who led pirates	1116	12-sep-2018	100.0