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
helena_road is a street	1111	06-jul-2018	100.0
harbor_winery is a winery	1111	06-jul-2018	100.0
jennifer_travis is an athlete	1111	06-jul-2018	100.0
jonathan_foley is a chef	1111	06-jul-2018	100.0
dancing_in_the_street is a musical album	1111	06-jul-2018	99.9
potsdamer_platz_arkaden is a shopping mall in the city berlin	1116	12-sep-2018	100.0
standard_mandarin is the language of the country china	1111	06-jul-2018	93.8
the home stadium of cristobal_huet is wrigley_field	1116	12-sep-2018	100.0
ellence is a drug worked on by pfizer	1114	25-aug-2018	93.8
new_orleans is the home city of the sports team lsu	1116	12-sep-2018	100.0