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
gaussian_process is a scientific term	1111	06-jul-2018	100.0
south_plains_college is a sports team	1111	06-jul-2018	100.0
dean_deblois is a commedian	1111	06-jul-2018	100.0
nepali_congress_party is a terrorist organization	1111	06-jul-2018	99.8
theater_chair is an item found on the floor	1111	06-jul-2018	100.0
football_players is a generalization of stephen_davis	1113	15-aug-2018	100.0
new_orleans_arena is the home venue for the sports team new_orleans_hornets	1116	12-sep-2018	100.0
prince_william has wife kate	1116	12-sep-2018	100.0
the country cayman_islands uses the currency dollars	1116	12-sep-2018	100.0
kurt_westergaard belongs to the ethnic group danish	1116	12-sep-2018	100.0