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
seena_owen is a person	1111	06-jul-2018	93.1
bush_trees is a plant	1111	06-jul-2018	99.3
varna_airport is a transportation port	1111	06-jul-2018	100.0
hillwood_museum_and_gardens is a museum	1111	06-jul-2018	96.3
carey_lake is a trail	1111	06-jul-2018	100.0
jurisprudence is an academic program at the university college	1112	24-jul-2018	100.0
ebay_com is a company also known as ebay	1114	25-aug-2018	100.0
stanford hired montgomery	1111	06-jul-2018	98.4
large_herds refers to more than one wildebeest	1111	06-jul-2018	98.4
the companies united_states_postal_service and priority compete with eachother	1111	06-jul-2018	100.0