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
n00_01 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
proliferation_software is a tool	1111	06-jul-2018	99.7
scrap_aluminium is a building material	1111	06-jul-2018	98.8
asian_walnut_moth is an insect	1111	06-jul-2018	100.0
nilutpal_gogoi is a male	1111	06-jul-2018	90.6
large_herds refers to more than one goats	1111	06-jul-2018	99.2
nissan is a specific automobile maker dealer in mission	1114	25-aug-2018	100.0
ford has acquired lincoln	1114	25-aug-2018	100.0
the companies the_globe_and_mail and journal compete with eachother	1111	06-jul-2018	93.8
ellison is a top member of oracle	1116	12-sep-2018	99.4