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
n55_03 is a term used by physicists	1111	06-jul-2018	90.0
bed_rocking is a household item	1111	06-jul-2018	91.7
n6_13_pm is a time	1111	06-jul-2018	100.0
michele_combs is an actor	1111	06-jul-2018	91.2
phone_ringtone_samsung_verizon is an item found on a table	1111	06-jul-2018	99.7
birds is an animal that eats juicy_fruits	1114	25-aug-2018	100.0
ford is a company that produces meteor	1114	25-aug-2018	93.8
amy has husband john	1116	12-sep-2018	96.9
sam_katz is the leader of the city winnipeg	1116	12-sep-2018	100.0
clark is a person who has attended the school state_university	1114	25-aug-2018	99.2