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
anderson_valley_post is a website	1111	06-jul-2018	100.0
rock_grouper is a fish	1111	06-jul-2018	100.0
chateau_divine_wines is a winery	1111	06-jul-2018	100.0
muddiness is a physical characteristic	1111	06-jul-2018	100.0
vin_blanc is a beverage	1111	06-jul-2018	99.9
calgery_zoo is a zoo in the city calgery	1116	12-sep-2018	100.0
john_steinbeck contributed to the creative work the_red_pony	1111	06-jul-2018	99.9
earwig is an arthropod that feeds on insects	1115	03-sep-2018	100.0
mike_price coaches the team washington_state	1116	12-sep-2018	93.8
downtown_washington is a city located in the geopolitical location national	1114	25-aug-2018	100.0