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
ellsworth_weekly is a website	1111	06-jul-2018	98.6
vcideo_poker is a non-sports, non-electronic game	1111	06-jul-2018	98.6
ashley_lake is a trail	1111	06-jul-2018	100.0
brick_mold is a fungus	1111	06-jul-2018	93.2
anime_manga_con is a convention	1111	06-jul-2018	99.8
david_climer is a journalist that writes for the publication tennessean	1111	06-jul-2018	93.8
the loosing score of n2001_super_bowl was nonneginteger:n7	1116	12-sep-2018	100.0
wi is a sate or province located in the country usa	1116	12-sep-2018	100.0
barack_obama represents the region harvard_law_review	1114	25-aug-2018	100.0
jason_motte is an athlete that flied out to position center	1111	06-jul-2018	100.0