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
schlesisches_musikfest is a music festival	1111	06-jul-2018	100.0
natal_purple_glossed_snake is a reptile	1111	06-jul-2018	100.0
rock_hudson_and_doris_day ia a celebrity	1111	06-jul-2018	90.7
brush_painting is a hobby	1111	06-jul-2018	99.8
white_river_amphitheatre is a stadium or event venue	1111	06-jul-2018	99.9
ark and king_david are siblings	1113	15-aug-2018	93.8
garrett_atkins is an athlete that flied out to position center	1111	06-jul-2018	100.0
st__louis_cardinals is a sports team that plays the sport baseball	1116	12-sep-2018	100.0
prince has citizenship in the country portugal	1114	25-aug-2018	100.0
arthropods is a type of ticks	1116	12-sep-2018	95.7