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
green_valley_ranch_resort_las_vegas is a hotel	1111	06-jul-2018	96.7
american_lake_credit_union is a bank	1111	06-jul-2018	100.0
oldsmobile_cutlass_fe3x_concept is a kind of vehicle	1111	06-jul-2018	99.9
alicia_machado is a Mexican person	1111	06-jul-2018	96.9
polio_viruses is a virus	1111	06-jul-2018	96.3
chuck_noll coaches in the league nfl	1116	12-sep-2018	100.0
matt_richtel is a journalist that writes for the publication new_york_times	1111	06-jul-2018	99.2
agassi is an athlete who beat williams	1114	25-aug-2018	99.2
jamie_dimon is a top member of chase	1116	12-sep-2018	100.0
lincoln makes the automobile navigator	1114	25-aug-2018	100.0