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
n6_07_pm is a time	1111	06-jul-2018	100.0
quality_kitchen is a kind of room	1111	06-jul-2018	99.9
communications_consultant is a kind of office held by a politician	1111	06-jul-2018	100.0
ancient_soap is a personal care product	1111	06-jul-2018	96.6
soap_molds is a fungus	1111	06-jul-2018	90.7
eve is the mother of flood	1114	25-aug-2018	93.8
whirlpool is often found in bathroom	1114	25-aug-2018	96.7
aaron_zeitlin was born in the country belarus	1116	12-sep-2018	100.0
baseball is a sport with fans in the country china	1111	06-jul-2018	99.2
pamela_ahearn is a person born on the date n1954	1116	12-sep-2018	100.0