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
jeep_freedom_concept is a kind of vehicle	1111	06-jul-2018	99.9
n0_10_0 is a machine-learning algorithm	1111	06-jul-2018	98.9
serious_criminal_conduct ia a crime or charge	1111	06-jul-2018	100.0
n1967____1982 is a year	1111	06-jul-2018	100.0
statistician is a train station	1111	06-jul-2018	98.9
d_day_landings happened on the date june_1944	1116	12-sep-2018	100.0
bugs feeds on spider_mites	1111	06-jul-2018	98.4
countries is a generalization of canada	1116	12-sep-2018	100.0
california is a state that is bordered by the state baja_california	1113	15-aug-2018	98.4
joseph_conrad wrote the book lord_jim	1111	06-jul-2018	100.0