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
physics_students is a victim	1111	06-jul-2018	100.0
new_slovenia_or_nsi is a political party	1111	06-jul-2018	100.0
n1966_fifa_world_cup is a sporting event	1111	06-jul-2018	100.0
prescription_adipex_bontril is a muscle	1111	06-jul-2018	99.7
capitol_theatre_oh is a stadium or event venue	1111	06-jul-2018	100.0
herodotus is in the academic field history	1115	03-sep-2018	100.0
saturday_evening_post is a newspaper in the city paris	1116	12-sep-2018	100.0
larry_fitzgerald is an athlete coached by ken_whisenhunt	1116	12-sep-2018	100.0
hindi is the language of the country india	1115	03-sep-2018	100.0
jack has wife katie	1116	12-sep-2018	93.8