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
breno_mello is a commedian	1111	06-jul-2018	92.6
clifton_springs_hospital is a hospital	1111	06-jul-2018	96.2
mount_sinai_united_holy_church_of_america_church is a religion	1111	06-jul-2018	100.0
full_time_engineer is a profession	1111	06-jul-2018	100.0
whole_grain_flours is a fruit	1111	06-jul-2018	98.8
larry_hughes is an athlete who led chicago_bulls	1116	12-sep-2018	96.9
alexandra_hotel is a hotel in the city toronto	1116	12-sep-2018	100.0
xenon is a chemical that is a kind of noble_gases	1115	03-sep-2018	93.8
rembrandt is a person born on the date n1606	1116	12-sep-2018	100.0
jake_tapper works for abc_news	1111	06-jul-2018	99.8