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
tour_des_deux_s_vres is a sports race	1111	06-jul-2018	100.0
n27103 is a ZIP code	1111	06-jul-2018	99.6
tomato_leaves is an agricultural product	1111	06-jul-2018	100.0
facuak_lymph_nodes is a part of the body	1111	06-jul-2018	100.0
kjzy is a radio station	1111	06-jul-2018	96.9
tony_gonzalez and dwayne_bowe are teammates	1111	06-jul-2018	93.8
roy is a person who graduated from the university state_university	1114	25-aug-2018	93.8
the sports leage ncaa uses the venue jordan_hare_stadium	1111	06-jul-2018	100.0
the country the_united_kingdom uses the currency pounds	1116	12-sep-2018	100.0
david is the father of solomon	1116	12-sep-2018	100.0