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
oldsmobile_442_hurst_special is a kind of vehicle	1111	06-jul-2018	99.9
north_port_home is a location	1115	03-sep-2018	96.3
new_hampshire_magazine is a newspaper	1111	06-jul-2018	100.0
n06_15_2009 is a dataset used within the scientific field of machine learning	1111	06-jul-2018	100.0
com_home is a museum	1111	06-jul-2018	100.0
emperor has citizenship in the country russia	1113	15-aug-2018	100.0
chaffee_zoological_gardens is an aquarium in the city fresno	1116	12-sep-2018	100.0
san_diego_chargers is a sports team that plays the sport football	1116	12-sep-2018	100.0
alanis_morissette was born in the city ottawa	1116	12-sep-2018	100.0
english is spoken in the city toronto	1113	15-aug-2018	100.0