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
pool_outdoor_pool is a sport	1111	06-jul-2018	99.9
rap_guanine_nucleotide_exchange_factor_3 is a protein	1111	06-jul-2018	100.0
aid_suggestions is a machine-learning conference	1111	06-jul-2018	94.9
araneus_falcatus is an arachnid	1111	06-jul-2018	100.0
section_312__b is a legislative bill	1111	06-jul-2018	95.4
hockey is a sport played in the venue wells_fargo_center	1115	03-sep-2018	99.8
knowshon_moreno and quarterback_matt_stafford are teammates	1111	06-jul-2018	93.8
steven_derounian is a person who has residence in the country us	1115	03-sep-2018	100.0
georgetown is a city also known as washington_d_c_	1113	15-aug-2018	100.0
ronald_reagan is a politician who holds the office of former_assistant_secretary	1115	03-sep-2018	99.6