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
suny_stony_brook is a school	1113	15-aug-2018	98.5
kevin_schwartz is american	1111	06-jul-2018	91.5
deyoung_family_zoo is an aquarium	1111	06-jul-2018	100.0
texas_a_m is an organization	1114	25-aug-2018	100.0
pollen_a is a city	1111	06-jul-2018	99.8
nissan is a specific automobile maker dealer in arlington	1114	25-aug-2018	100.0
milano is the capital city of the country italy	1116	12-sep-2018	100.0
flowers is an agricultural product produced in china	1111	06-jul-2018	100.0
congressional_elections happened on the date n2010	1116	12-sep-2018	100.0
spinach is related to china	1111	06-jul-2018	100.0