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
ottawa_senators is a sports team	1111	06-jul-2018	100.0
barbados_amaryllis_beach_resort is a place to ski	1111	06-jul-2018	90.8
world_series_2008 is an award, championship, or tournament trophy	1111	06-jul-2018	100.0
dog_shampoo is a personal care product	1111	06-jul-2018	98.6
riattivazione is a wine	1111	06-jul-2018	99.3
toilets is often found in bathroom	1114	25-aug-2018	100.0
xml_feed_tweet_seattle_mariners is a sports team that played in games	1113	15-aug-2018	100.0
usc is a sports team that plays against boston_bruins	1111	06-jul-2018	98.6
barack_obama is a U.S. politician endorsed by the U.S. politician biden	1112	24-jul-2018	99.8
n9_47_pm is the time of the event n1999_bourbonnais__illinois__train_accident	1116	12-sep-2018	100.0