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
center_butter is a sports team position	1111	06-jul-2018	99.3
rolled_oat_bread is a baked good	1111	06-jul-2018	100.0
halina_bean is a legume	1111	06-jul-2018	97.9
dubai_tower_1 is a skyscraper	1111	06-jul-2018	99.9
northwestern_magazine is a magazine	1111	06-jul-2018	99.8
william_verity is a person born on the date n1917	1116	12-sep-2018	100.0
lord has brother israel	1113	15-aug-2018	100.0
the country trinidad_and_tobago uses the currency dollars	1116	12-sep-2018	100.0
toyota is a specific automobile maker dealer in texas	1115	03-sep-2018	100.0
elizabeth and anna001 are siblings	1112	24-jul-2018	93.8