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
gold_ore_gold_lotto_gold_refining is a visualizable attribute	1111	06-jul-2018	100.0
_1999 is a year	1111	06-jul-2018	100.0
n12951 is a ZIP code	1111	06-jul-2018	99.8
tennessee_hotels is a park	1111	06-jul-2018	93.0
maple_road is a street	1111	06-jul-2018	100.0
pusan is a city also known as busan	1112	24-jul-2018	93.8
hilton_austin_airport is a hotel in the city austin	1116	12-sep-2018	100.0
hayes is a politician who holds the office of president	1111	06-jul-2018	100.0
alexander has citizenship in the country macedonia	1112	24-jul-2018	100.0
miami_international is an attraction that will be fall in city miami	1116	12-sep-2018	100.0