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
hetjens_museum is a museum	1111	06-jul-2018	100.0
class_help is a machine-learning conference	1111	06-jul-2018	92.6
online_net is a visualizable attribute	1111	06-jul-2018	90.9
poker_pokre is a cardgame	1111	06-jul-2018	91.8
salmonella_serotypes is a bacterium	1111	06-jul-2018	100.0
mites is a type of creatures	1112	24-jul-2018	98.4
wtva_tv is a TV affiliate of the network nbc_news	1116	12-sep-2018	100.0
lubbock is a city located in the geopolitical location texas_tech	1113	15-aug-2018	93.8
barnstaple is a city that lies on the river taw	1112	24-jul-2018	93.8
the country sri_lanka uses the currency rupees	1116	12-sep-2018	100.0