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
place_furnishings is a household item	1111	06-jul-2018	93.0
jul__06 is a date	1111	06-jul-2018	100.0
trade_unions_rights is a socio-political term	1111	06-jul-2018	95.9
foreign_national_students is a victim	1111	06-jul-2018	100.0
sweet_love is a song	1111	06-jul-2018	100.0
the companies youtube and new_york compete with eachother	1111	06-jul-2018	98.4
cbc is a company in the economic sector of media	1114	25-aug-2018	99.8
gabe_gross plays for the team tampa_bay_devil_rays	1116	12-sep-2018	93.8
leo_maguire died in the country great_britain	1116	12-sep-2018	100.0
satan and eve are family members	1111	06-jul-2018	100.0