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
half_the_door is an item often found in a hallway	1111	06-jul-2018	99.7
union_of_the_forces_for_progress is a political party	1111	06-jul-2018	100.0
six_misdemeanor_counts ia a crime or charge	1111	06-jul-2018	100.0
william_robson is an author in the scientific field of machine learning	1111	06-jul-2018	99.9
morris_hirshfield is a visual artist	1111	06-jul-2018	92.9
starbucks_coffee_company serves arabica	1114	25-aug-2018	100.0
new_brunswick is a sate or province located in the country canada	1116	12-sep-2018	100.0
luis has citizenship in the country france_france	1113	15-aug-2018	100.0
national is a company that has an office in the country austria	1114	25-aug-2018	100.0
charles_ii has brother james	1116	12-sep-2018	100.0