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
the_coast_weekly is a newspaper	1111	06-jul-2018	100.0
neches_federal_credit_union is a bank	1111	06-jul-2018	100.0
arkansas_chronicle is a political blog	1111	06-jul-2018	98.8
rights_education_activities is a political issue	1111	06-jul-2018	100.0
gbs_meningitis is a disease	1111	06-jul-2018	91.6
kenwood_corporation is a park in the city chicago_south	1116	12-sep-2018	96.9
damascus is the capital city of the country syria	1116	12-sep-2018	100.0
sony was responsible for launch_of_ps3	1116	12-sep-2018	100.0
temptations is a musician in the genre soul	1114	25-aug-2018	93.8
hebrew is the language of the country israel	1114	25-aug-2018	100.0