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
nickel_aluminum_bronze is a building material	1111	06-jul-2018	100.0
em_poker is a cardgame	1111	06-jul-2018	100.0
igor_jijikine is a Canadian person	1111	06-jul-2018	92.4
the_western_producer is a newspaper	1111	06-jul-2018	96.2
grass_court_title is an award, championship, or tournament trophy	1111	06-jul-2018	90.2
esteban_loaiza is an athlete that flied out to position center	1111	06-jul-2018	100.0
children is an animal that can develop mental_health_challenges	1115	03-sep-2018	98.4
al has been charged with murder	1115	03-sep-2018	96.9
west_street is a street in the city annapolis	1116	12-sep-2018	100.0
het_volk is a newspaper in the city brussels	1116	12-sep-2018	99.6