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
centre_for_contemporary_photography is a museum	1111	06-jul-2018	100.0
arts_specialist is a profession	1111	06-jul-2018	96.6
n7_8_pounds is a currency	1111	06-jul-2018	100.0
west_side_door is an item often found in a hallway	1111	06-jul-2018	99.8
josh_prince is an athlete	1111	06-jul-2018	94.7
xml_feed_tweet_seattle_mariners is a sports team that played in championship	1113	15-aug-2018	96.9
ryan_phillippe is related to ryan_phillippe	1116	12-sep-2018	100.0
the country south_korea uses the currency won	1116	12-sep-2018	100.0
salah is the father of eber	1116	12-sep-2018	99.7
arachnids is an arthropod that looks like insects	1111	06-jul-2018	100.0