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
video_poker_guide is a non-sports, non-electronic game	1111	06-jul-2018	98.7
oak_woodland can be a part of a landscape	1111	06-jul-2018	98.3
giant_snow_storm is a weather phenomenon	1111	06-jul-2018	98.7
bruce_bilson is a director	1111	06-jul-2018	100.0
radio_berlin is an item often found in a bedroom	1111	06-jul-2018	99.8
seattle_tacoma_international is an attraction that will be fall in city seattle	1116	12-sep-2018	98.4
creatures is an animal that preys on reptiles	1112	24-jul-2018	93.8
father is the parent of christ_jesus	1115	03-sep-2018	99.2
ice_hockey is a sport taught in the country __america	1116	12-sep-2018	100.0
ellen has husband william	1116	12-sep-2018	93.8