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
e_j__henderson is an athlete	1111	06-jul-2018	100.0
south_boston_gazette_virginian is a website	1111	06-jul-2018	100.0
look_at_you_records is a record label	1111	06-jul-2018	98.2
keith_jacobs is an actor	1111	06-jul-2018	90.9
north_american_lake_management_society is a non-profit organization	1111	06-jul-2018	99.6
mike_parisi plays the sport baseball	1116	12-sep-2018	93.8
27 was the winning score in super_bowl_xvii	1116	12-sep-2018	100.0
nottingham_east_midlands is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0
matt_williams is an athlete who led indians	1116	12-sep-2018	93.8
the companies financial and bbc001 compete with eachother	1111	06-jul-2018	98.4