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
salmon_filet is a type of meat	1111	06-jul-2018	98.5
native_art_gallery is a museum	1111	06-jul-2018	91.0
organic_tree is a plant	1111	06-jul-2018	99.4
grand_hyatt_dubai_tower_4_48_0_m_12_built is a skyscraper	1111	06-jul-2018	99.9
bright_nickel is a color	1111	06-jul-2018	100.0
mallinckrodt is a company headquartered in the city saint_louis	1116	12-sep-2018	98.4
hunting is a sport taught in the country __america	1116	12-sep-2018	100.0
alex001 is a musician who plays the bass	1115	03-sep-2018	100.0
high_street is a street in the city edinburgh	1116	12-sep-2018	100.0
trees is a plant that is a kind of gymnosperms	1111	06-jul-2018	99.2