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
contact_for_questions is a song	1111	06-jul-2018	100.0
two_relationships is a parlour game	1111	06-jul-2018	100.0
science_this_article is a legislative bill	1111	06-jul-2018	91.4
n2001_04_13 is a year	1111	06-jul-2018	100.0
thermococcus_onnurineus_na1 is a bacterium	1111	06-jul-2018	100.0
cain is the father of enoch	1116	12-sep-2018	100.0
the country vietnam uses the currency dollars	1116	12-sep-2018	90.0
willie_walsh is the CEO of ba	1116	12-sep-2018	98.4
new_england_aquarium is an aquarium in the city boston	1116	12-sep-2018	100.0
the sports leage mlb uses the venue comerica	1114	25-aug-2018	100.0