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
senate_taxation_committee is a political organization that is not part of the government	1111	06-jul-2018	100.0
gold_princess is a geometric shape	1111	06-jul-2018	97.0
francesco_mazzola is a visual artist	1111	06-jul-2018	100.0
dgs_students is a victim	1111	06-jul-2018	95.5
battle_of_coronea is a military conflict	1111	06-jul-2018	100.0
terry_moran is a person who belongs to the organization abc_news	1111	06-jul-2018	96.9
new_york_magazine is a newspaper in the city new_york	1116	12-sep-2018	100.0
management is a type of sciences	1114	25-aug-2018	100.0
terry is a person who graduated from the university college	1115	03-sep-2018	100.0
optimizing_password_composition_policies occurrs at the date april_10__2013	1116	12-sep-2018	100.0