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
further_computer is an item found on a table	1111	06-jul-2018	100.0
modern_thai is a person	1111	06-jul-2018	91.2
tanggu is a musical instrument	1111	06-jul-2018	93.8
whydah_museum is a museum	1111	06-jul-2018	100.0
rob_morrow is a commedian	1111	06-jul-2018	100.0
steffi_graf is an athlete who beat arantxa_sanchez_vicario	1111	06-jul-2018	100.0
richard held the position of king	1116	12-sep-2018	100.0
bextra is a drug worked on by pfizer	1114	25-aug-2018	100.0
management is found in valley	1115	03-sep-2018	99.2
san_jose is the capital city of the country costa_rica	1116	12-sep-2018	100.0