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
chris_marie_green is a person	1111	06-jul-2018	94.2
mumia_abu_jamal_mumia_abu_jamal is a criminal	1111	06-jul-2018	100.0
full_time_accountant is a job position	1111	06-jul-2018	94.9
amador_ledger_dispatch is a blog	1111	06-jul-2018	100.0
wyoming_wy is a geopolitical entity that is a location	1111	06-jul-2018	96.3
sergio_romo is an athlete that flied out to position center	1111	06-jul-2018	100.0
king_george has citizenship in the country greece	1112	24-jul-2018	93.8
kusc is headquartered in the city los_angeles_ca	1116	12-sep-2018	100.0
sea_tac_international_airport is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0
chevrolet is a specific automobile maker dealer in seattle	1114	25-aug-2018	100.0