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
juan_dolio_hotels is a hotel	1111	06-jul-2018	98.5
african_bullfrog is an amphibian	1111	06-jul-2018	100.0
mick_burrows is an Australian person	1111	06-jul-2018	98.6
leicester_car is a product	1111	06-jul-2018	91.4
phone_hire is an item found on a table	1111	06-jul-2018	91.8
artillery_shells is a type of weapon produced in israel	1114	25-aug-2018	100.0
blue_jays is a sports team that plays against tampa_bay_devil_rays	1111	06-jul-2018	98.4
house hired defense	1112	24-jul-2018	93.8
tata terminated the employment of b_muthuraman	1112	24-jul-2018	100.0
richard_goldstone is a person who has residence in the country south_africa	1116	12-sep-2018	100.0