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
hometown_magazine is a magazine	1111	06-jul-2018	99.9
stunning_islands can be a part of a landscape	1111	06-jul-2018	99.1
lone_window is an item found on a wall	1111	06-jul-2018	100.0
hot_chocolate_tootsie_pops is a kind of candy	1111	06-jul-2018	96.2
section_274_ is a legislative bill	1111	06-jul-2018	97.3
face has color blue	1115	03-sep-2018	99.6
chevrolet is a specific automobile maker dealer in philadelphia	1114	25-aug-2018	100.0
great_vow_zen_monastery is a place of worship that practices the religion of buddhism	1116	12-sep-2018	100.0
large_herds is a generalization of deer	1111	06-jul-2018	99.6
national is a bank that bought bank_of_punjab	1114	25-aug-2018	100.0