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
claiborne_road is a street	1111	06-jul-2018	100.0
class_legal_services is a machine-learning conference	1111	06-jul-2018	98.0
michael_barnes is an architect	1111	06-jul-2018	100.0
owner_features is a job position	1111	06-jul-2018	95.0
ameican_anthem_rock is a genre of music	1111	06-jul-2018	99.1
rbs has acquired abn_amro	1114	25-aug-2018	93.8
black_pepper is an agricultural product that is usually cooked with butter	1114	25-aug-2018	100.0
national is a company that has an office in the country jordan	1114	25-aug-2018	100.0
wcau is a TV affiliate of the network nbc_news	1116	12-sep-2018	99.2
father is the parent of son	1115	03-sep-2018	100.0