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
n8_00_7_00 is a time	1112	24-jul-2018	100.0
two_this is a parlour game	1111	06-jul-2018	90.7
vistaril_potentiate_other_meds is a product	1111	06-jul-2018	92.1
tutte_le_direzioni is a wine	1111	06-jul-2018	99.2
n12562 is a ZIP code	1112	24-jul-2018	99.8
shell_oil is a company also known as shell_oil	1114	25-aug-2018	100.0
marshall hired bob_pruett	1112	24-jul-2018	98.4
mike is a person who graduated from the university college	1115	03-sep-2018	100.0
tux is a clothing item to go with tie	1111	06-jul-2018	100.0
safina is an athlete who wins australian_open	1114	25-aug-2018	100.0