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
epic_power_metal is a genre of music	1111	06-jul-2018	98.7
top_quality_devices is a weapon	1111	06-jul-2018	97.2
dominika_volfova is a fashion model	1111	06-jul-2018	100.0
interface_plugin_parameters is a machine-learning conference	1111	06-jul-2018	97.6
n31_28_loss is an event outcome	1111	06-jul-2018	99.9
day_mary is the mother of jesus	1116	12-sep-2018	93.8
prince has citizenship in the country austria	1114	25-aug-2018	99.9
european_countries is a generalization of the_united_kingdom	1116	12-sep-2018	100.0
obama is a politician who holds the office of potus	1115	03-sep-2018	99.9
tim_russert is a person who died at the age of 58	1116	12-sep-2018	100.0