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
n69_65_loss is an event outcome	1111	06-jul-2018	99.9
n12385 is a ZIP code	1112	24-jul-2018	99.8
gold_curb_link is a color	1111	06-jul-2018	93.1
certified_senior_professional is a job position	1111	06-jul-2018	95.2
oldsmobile_aurora_cars is a model of automobile	1111	06-jul-2018	91.4
the companies united_states_postal_service and media compete with eachother	1111	06-jul-2018	93.8
ford is a company that produces courier	1114	25-aug-2018	99.9
sydney_hospital is a hospital in the city sydney	1116	12-sep-2018	100.0
john_steinbeck contributed to the creative work cannery_row	1111	06-jul-2018	100.0
ea_mobile has acquired origin	1114	25-aug-2018	96.9