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
rabat_airport is a transportation system	1111	06-jul-2018	100.0
intramyocardial_arteries is an artery	1111	06-jul-2018	99.6
system_plant is a video game system	1111	06-jul-2018	96.2
township_meeting is a perception action	1111	06-jul-2018	99.5
hair_dye_allergy is a personal care product	1111	06-jul-2018	98.6
prince has citizenship in the country prussia	1114	25-aug-2018	100.0
joseph is a politician who holds the office of president	1115	03-sep-2018	100.0
red_tank_top is a clothing item to go with skirt	1111	06-jul-2018	93.8
john_banville wrote the book the_sea	1111	06-jul-2018	93.8
bentley is a specific automobile maker dealer in canada	1116	12-sep-2018	100.0