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
baseball_world_series is an award, championship, or tournament trophy	1111	06-jul-2018	100.0
environment_committee is a professional organization	1111	06-jul-2018	100.0
barley_rye is a grain	1111	06-jul-2018	90.7
whole_grain_flours is a fruit	1111	06-jul-2018	98.8
april_21_2011 is a date	1111	06-jul-2018	96.8
judas has brother jesus	1116	12-sep-2018	100.0
takashi_saito is an athlete that flied out to position center	1111	06-jul-2018	100.0
black_pepper is an agricultural product that is usually cooked with potatoes	1114	25-aug-2018	99.2
u_s__embassy is headquartered in the country u_s_	1116	12-sep-2018	100.0
fujio_mitarai is the CEO of canon_corporation	1116	12-sep-2018	99.2