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
justices_evelyn_lundberg_stratton is a judge	1111	06-jul-2018	98.8
lymph_nodes_in_lungs is a lymph node	1111	06-jul-2018	99.5
oneonta_daily_star is a political blog	1111	06-jul-2018	99.2
psp_windows_xp_drivers is a consumer electronic device	1111	06-jul-2018	99.9
ryan_ahern is an actor	1111	06-jul-2018	91.2
thomas_menino is the leader of the city boston	1116	12-sep-2018	100.0
mike_parisi plays the sport baseball	1116	12-sep-2018	93.8
liev_schreiber has wife naomi	1116	12-sep-2018	93.8
chrysler is a specific automobile maker dealer in illinois	1114	25-aug-2018	100.0
brazil is a country located in the geopolitical location south_america	1111	06-jul-2018	100.0