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
internet_ordering is a physical action	1111	06-jul-2018	94.8
henri_lloyd_shoes is a kind of clothing	1111	06-jul-2018	100.0
charles_f__haanel is a writer	1111	06-jul-2018	91.2
sipunculidae is a mollusk	1111	06-jul-2018	100.0
n2010_cadillac_dts is a model of automobile	1111	06-jul-2018	98.1
roethlisberger is an athlete coached by josh_tomlin	1116	12-sep-2018	100.0
guo_jingjing is a person who has residence in the geopolitical location china	1111	06-jul-2018	100.0
michael_deaver died in the state or province md	1116	12-sep-2018	100.0
black_pepper is an agricultural product that is usually cooked with rosemary	1114	25-aug-2018	98.4
hang_seng is a bank in hong_kong	1114	25-aug-2018	100.0