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
nine_gables_vineyard_winery is a winery	1111	06-jul-2018	100.0
carolyn_martin is a politician	1111	06-jul-2018	100.0
locker_room_walls is something found in or on buildings	1111	06-jul-2018	98.9
emily_bronte is a female	1111	06-jul-2018	99.9
republican_supreme_court is a part of the government	1111	06-jul-2018	95.5
spiders is an arthropod as well as brown_recluse_spider also is	1111	06-jul-2018	100.0
national is a company that has an office in the country cyprus	1114	25-aug-2018	100.0
mcpherson001 was born in washington___d___c__	1116	12-sep-2018	100.0
sugarloaf_mountain is a mountain in the state or province florida	1116	12-sep-2018	100.0
garlic is related to india	1115	03-sep-2018	100.0