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
thomas_wood is an architect	1111	06-jul-2018	100.0
conrad_n__hilton_foundation is a part of the government	1111	06-jul-2018	100.0
_999 is a visualizable attribute	1111	06-jul-2018	93.6
aid_collections is a machine-learning conference	1111	06-jul-2018	95.6
glacier_bay_national_monument is a monument	1111	06-jul-2018	99.9
the sports team chicago_cubs was the winner of n1907_world_series	1116	12-sep-2018	93.8
suburban_rail is a transportation system located in the city central_london	1116	12-sep-2018	100.0
koce is a company that has an office in the city los_angeles_ca	1111	06-jul-2018	99.9
beds is often found in style_room	1111	06-jul-2018	99.9
bed is often found in lower_level_master	1116	12-sep-2018	93.8