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
haloferax_sp__fb247_3 is an archaeon	1111	06-jul-2018	100.0
psp_usded_games is a consumer electronic device	1111	06-jul-2018	99.9
tim_dekay is a commedian	1111	06-jul-2018	100.0
bone_marrow_conditions is a disease	1111	06-jul-2018	90.4
streptomyces_thermosacchari is a bacterium	1111	06-jul-2018	100.0
jerusalem is a city located in the geopolitical location jewish_state	1112	24-jul-2018	98.4
eggs is an agricultural product coming from one_hen	1112	24-jul-2018	93.8
the sports leage irl uses the venue daytona_international_speedway	1113	15-aug-2018	96.9
black_pepper is an agricultural product that is usually cooked with ginger	1114	25-aug-2018	93.8
predators is an animal that preys on spiders	1111	06-jul-2018	99.2