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
cordoba_city is a geopolitical entity that is a location	1111	06-jul-2018	92.3
category_table is an item found on the floor	1111	06-jul-2018	99.9
term_warming is an invertebrate	1111	06-jul-2018	94.3
atka is a city	1111	06-jul-2018	99.8
o_cajcen_seafood_restaurant is a restaurant	1111	06-jul-2018	100.0
larger_animals is an animal that preys on cats	1112	24-jul-2018	100.0
abby and mary are siblings	1114	25-aug-2018	93.8
manuel_g_ttsching is a musician who is part of ash_ra_tempel	1111	06-jul-2018	93.8
products001 is a product produced in morocco	1111	06-jul-2018	93.8
john_steinbeck wrote the book the_pearl	1111	06-jul-2018	100.0