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
collar_cells is a type of biological cell	1111	06-jul-2018	97.9
indonesian_french is a language	1111	06-jul-2018	99.7
lognes is a visualizable scene	1111	06-jul-2018	99.4
prescription_dell is a muscle	1111	06-jul-2018	99.8
arteria_callosomariginalis is an artery	1111	06-jul-2018	99.3
abraham_s is the father of isaac	1116	12-sep-2018	93.8
aaron_rodgers is a person also known as j_p__arencibia	1115	03-sep-2018	100.0
billboard terminated the employment of number	1114	25-aug-2018	99.6
kmcb is a TV affiliate of the network nbc_news	1116	12-sep-2018	99.2
tampa_international_airport is a generalization of temple_of_the_reclining_buddha	1113	15-aug-2018	100.0