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
mindanews is a publication	1111	06-jul-2018	91.3
polina_kondratikova is a fashion model	1111	06-jul-2018	100.0
supreme_court_friday is a part of the government	1111	06-jul-2018	95.6
high_quality_gasoline is a refinery product	1112	24-jul-2018	98.7
italy___milan is a country	1111	06-jul-2018	98.4
cows is an animal that is a kind of larger_animals	1112	24-jul-2018	100.0
service is an organization also known as division	1112	24-jul-2018	99.6
garage is a subpart of hot_water	1111	06-jul-2018	96.9
n7501 is a room in the building gates_and_hillman_centers	1116	12-sep-2018	100.0
king_street is a street in the city charleston	1116	12-sep-2018	100.0