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
sarntal_alps is a mountain range	1111	06-jul-2018	99.7
kiplinger_s_personal_finance_magazine is a website	1111	06-jul-2018	100.0
class_places is a machine-learning conference	1111	06-jul-2018	92.1
the_real_roseanne_show is a TV show	1111	06-jul-2018	99.9
type_breast_cancer is a disease	1111	06-jul-2018	92.8
dominique_rodgers_cromartie plays for the team cardinals_27_23	1116	12-sep-2018	98.4
steven_derounian was born in the country bulgaria	1116	12-sep-2018	100.0
triangle has shape line	1112	24-jul-2018	93.8
sap_ag has acquired sybase	1114	25-aug-2018	99.9
rsa_in_the_real_world occurrs at the date april_8__2013	1116	12-sep-2018	100.0