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
ge is an organization	1114	25-aug-2018	100.0
alexander_khavanov is a male	1111	06-jul-2018	100.0
trade_unions_rights is a socio-political term	1111	06-jul-2018	95.9
overdiverseness is a physical characteristic	1113	15-aug-2018	100.0
neighborhood_cat is a vertebrate	1111	06-jul-2018	90.8
wvit_tv is a TV station in the city hartford_connecticut	1116	12-sep-2018	100.0
jeff_green is a person also known as kevin_durant	1113	15-aug-2018	100.0
ryan and matt_schaub are teammates	1111	06-jul-2018	93.8
spiders is an animal that is a kind of widow	1111	06-jul-2018	100.0
anapa is a city located in the geopolitical location russia	1113	15-aug-2018	99.8