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
arbuckle_lake is a lake	1111	06-jul-2018	100.0
serena_scott_thomas is american	1111	06-jul-2018	100.0
psp_hockey_games is a consumer electronic device	1111	06-jul-2018	99.9
don_t_blame_me is a song	1111	06-jul-2018	100.0
n12_cities_and_boroughs is a state or a province	1111	06-jul-2018	96.9
science is an academic program at the university george_washington_university__s_elliott_school	1114	25-aug-2018	93.8
paul001 has wife karen001	1116	12-sep-2018	96.9
vice_president_biden and michelle_obama are family members	1111	06-jul-2018	93.8
twx is a company also known as time_warner	1114	25-aug-2018	100.0
n2006_world_series happened on the date october_2006	1116	12-sep-2018	100.0