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
david_cargill is a criminal	1111	06-jul-2018	100.0
flat_lake is a trail	1111	06-jul-2018	100.0
movie_lost_treasure_of_the_grand_canyon is a movie	1111	06-jul-2018	100.0
jackie_nelson is a professor	1111	06-jul-2018	90.9
clopay_overhead_doors is something found in or on buildings	1111	06-jul-2018	98.6
krcl is headquartered in the city salt_lake	1116	12-sep-2018	100.0
the_south_china_morning_post is a newspaper in the city hong_kong	1116	12-sep-2018	100.0
david_herndon plays the sport baseball	1116	12-sep-2018	96.9
chevrolet is a specific automobile maker dealer in dallas	1114	25-aug-2018	100.0
jonathan_ornstein is a top member of mesa	1116	12-sep-2018	99.2