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
great_chicken is a type of meat	1111	06-jul-2018	100.0
n1997_dodge_grand_caravan is a model of automobile	1111	06-jul-2018	94.5
american_lawyers_association is a non-profit organization	1111	06-jul-2018	99.7
for_the_love_of_you is a song	1111	06-jul-2018	100.0
n1945___1956 is a year	1111	06-jul-2018	100.0
bloomberg is a company headquartered in the city nueva_york	1116	12-sep-2018	100.0
brown_recluse is an arthropod as well as recluse_spider also is	1111	06-jul-2018	100.0
smith001 plays the athletic team position player	1115	03-sep-2018	100.0
hilton_london_metropole is a hotel in the city central_london	1116	12-sep-2018	99.9
barack_obama is a politician who holds the office of potus	1115	03-sep-2018	100.0