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
two_plates is an item found on a table	1111	06-jul-2018	99.8
kitakyushu_city is a city	1111	06-jul-2018	100.0
skaterock is a genre of music	1111	06-jul-2018	98.8
n27103 is a ZIP code	1111	06-jul-2018	99.6
the_spec is a publication	1111	06-jul-2018	90.6
the sports leage nfl uses the venue bank_of_america_stadium	1114	25-aug-2018	100.0
saint_george_s is a city located in the geopolitical location grenada	1111	06-jul-2018	100.0
becky has husband brian	1116	12-sep-2018	100.0
west_virginia hired huggins	1111	06-jul-2018	100.0
flowers is an agricultural product produced in russia	1113	15-aug-2018	100.0