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_redd_foxx_show is a TV show	1111	06-jul-2018	99.9
criminal_sexual_offenses ia a crime or charge	1111	06-jul-2018	100.0
small_hidden_door is an item often found in a hallway	1111	06-jul-2018	99.7
robert_davison is an author in the scientific field of machine learning	1111	06-jul-2018	100.0
adidas_climacool_shoes is a kind of clothing	1111	06-jul-2018	100.0
presidents_kennedy_and_johnson is a U.S. politician who holds the office of secretary	1114	25-aug-2018	100.0
bubba_smith plays in the league nfl	1116	12-sep-2018	94.1
national is a bank that bought bank_of_punjab	1114	25-aug-2018	100.0
nissan is a specific automobile maker dealer in usa	1114	25-aug-2018	100.0
spiders is an animal that preys on pets	1111	06-jul-2018	100.0