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
elvis_mitchell is a European person	1111	06-jul-2018	100.0
joel_torres is a North American person	1111	06-jul-2018	91.5
field_coach is a profession	1111	06-jul-2018	100.0
same_phone is an item found on a table	1111	06-jul-2018	99.9
lcd_alarm_clock_with_calendar is an item often found in a bedroom	1111	06-jul-2018	99.8
kentucky is a company in the economic sector of insurance_policies	1113	15-aug-2018	93.8
brees and marques_colston are teammates	1112	24-jul-2018	93.8
michael_douglas has wife catherine	1116	12-sep-2018	100.0
english is a language used in the university hong_kong_baptist_university	1113	15-aug-2018	93.8
jobs is a person who moved to the state oregon	1115	03-sep-2018	100.0