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
agileness is a physical characteristic	1111	06-jul-2018	100.0
linton_zoological_gardens is an aquarium	1111	06-jul-2018	100.0
wedding_breakfast is a type of meat	1111	06-jul-2018	99.7
clostridium_thermobutyricum is a bacterium	1111	06-jul-2018	100.0
en_suite_master_bathroom is an office building room	1111	06-jul-2018	98.7
jay_triano coaches in the league nba	1116	12-sep-2018	100.0
cells is a subpart of the body within way	1111	06-jul-2018	100.0
washington participated in the event result	1113	15-aug-2018	98.4
usa_today is a newspaper in the city new_york	1116	12-sep-2018	100.0
ian_ferguson was born in the country canada	1116	12-sep-2018	100.0