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
arts_specialist is a profession	1111	06-jul-2018	96.6
us_naval_hospital is a hospital	1111	06-jul-2018	91.8
internal_maple_doors is something found in or on buildings	1111	06-jul-2018	98.5
principal_manager is a job position	1111	06-jul-2018	98.8
scorer_s_table is an item found on the floor	1111	06-jul-2018	99.9
john has wife janet	1116	12-sep-2018	100.0
mccain is a U.S. politician endorsed by the U.S. politician mr__bush	1112	24-jul-2018	96.9
oakland_international is an airport in the city san_francisco	1116	12-sep-2018	100.0
danny_boyle contributed to the creative work slumdog_millionaire	1111	06-jul-2018	99.3
exxon has acquired mobil	1114	25-aug-2018	100.0