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
rare_meeting is a perception action	1111	06-jul-2018	93.3
wigan_today is a newspaper	1111	06-jul-2018	92.8
sunset_gardens_cemetery is a place of worship	1111	06-jul-2018	99.9
trend_weakness is a physiological condition	1111	06-jul-2018	90.8
poker_website_findability is a cardgame	1111	06-jul-2018	91.9
workers is a profession that is a kind of individuals	1114	25-aug-2018	93.8
roissy_charles_de_gaulle is a building located in the city paris	1116	12-sep-2018	100.0
uk_airports is a generalization of temple_of_the_reclining_buddha	1115	03-sep-2018	100.0
eve is the parent of eden	1112	24-jul-2018	100.0
motorola has acquired symbol	1114	25-aug-2018	100.0