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
prescription_canada_canadian is a muscle	1112	24-jul-2018	99.8
koh_pha_ngan is a visualizable scene	1111	06-jul-2018	99.2
cultural_manager is a profession	1111	06-jul-2018	96.0
jeff_nathanson is a director	1111	06-jul-2018	100.0
horatius_at_the_bridge is a bridge	1111	06-jul-2018	97.4
philip is a musician who plays the guitar	1115	03-sep-2018	99.8
central_park is a zoo in the city nueva_york	1116	12-sep-2018	100.0
charles_krauthammer is a journalist that writes for the publication washington	1113	15-aug-2018	99.2
jordan_danks is an athlete who injured his/her shoulder	1113	15-aug-2018	100.0
fdr represents the region states	1113	15-aug-2018	100.0