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
last_community_meeting is a perception action	1111	06-jul-2018	99.4
zoo_de_beauval is a zoo	1111	06-jul-2018	99.9
tour_de_pei is a sports race	1111	06-jul-2018	100.0
ruth_robinson is an Australian person	1111	06-jul-2018	100.0
light_gray is a color	1111	06-jul-2018	100.0
the country guyana uses the currency dollars	1116	12-sep-2018	100.0
black_pepper is an agricultural product that is usually cooked with peppers	1114	25-aug-2018	93.8
soccer is a sport with fans in the country india	1115	03-sep-2018	93.8
blue_jays is an organization also known as xml_feed_tweet_seattle_mariners	1113	15-aug-2018	93.8
krcg_tv is a TV affiliate of the network cbs_evening_news	1116	12-sep-2018	99.2