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
meg_recordings is a record label	1111	06-jul-2018	98.7
lorazepam_lorazepam is an archaeon	1111	06-jul-2018	93.9
chris_lavis_and_maciek_szczerbowski is a male	1111	06-jul-2018	90.3
solartechnics_arena is a stadium or event venue	1111	06-jul-2018	100.0
hair_dryer_of is a personal care product	1111	06-jul-2018	96.2
spanish is a language used in the university george_washington_university__s_elliott_school	1114	25-aug-2018	99.6
florida_times_union is a newspaper in the city jacksonville	1116	12-sep-2018	99.8
ram is a specific automobile maker dealer in canada	1116	12-sep-2018	100.0
sergio_romo is an athlete that flied out to position center	1111	06-jul-2018	100.0
brufen_retard is a drug worked on by abbot_laboratories	1114	25-aug-2018	100.0