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
windows___doors___skylights is something found in or on buildings	1111	06-jul-2018	98.8
wave_tactics is a weapon	1111	06-jul-2018	97.1
office_office is a kind of room	1111	06-jul-2018	100.0
cagles_mill_lake is a trail	1111	06-jul-2018	100.0
mastic_beach_new_york is a beach	1111	06-jul-2018	100.0
laura_esquivel contributed to the creative work like_water_for_chocolate	1112	24-jul-2018	100.0
turtles is an animal that preys on reptiles	1112	24-jul-2018	100.0
judy has husband bill	1116	12-sep-2018	99.8
michael_dell is the CEO of dell_inc	1116	12-sep-2018	100.0
arizona_territory is a sate or province located in the country u_s_	1116	12-sep-2018	98.4