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
n1982___1987 is a year	1111	06-jul-2018	100.0
contact_caron is a book	1111	06-jul-2018	92.1
provimi_veal is a type of meat	1111	06-jul-2018	98.9
unique_record is a political blog	1111	06-jul-2018	99.6
babeldaob is a geopolitical entity that is a location	1111	06-jul-2018	92.3
john_e__sununu represents the region new_hampshire	1115	03-sep-2018	100.0
david_robertson is an athlete who injured his/her foot	1113	15-aug-2018	96.9
sleepy_hollow_presbyterian_church is a place of worship that practices the religion of presbyterianism	1116	12-sep-2018	100.0
kelvin_sampson is related to usa	1116	12-sep-2018	100.0
bed is often found in foot_unit	1111	06-jul-2018	93.8