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
swollen_itchy_lymph_nodes is a part of the body	1111	06-jul-2018	100.0
david_burton_morris is a director	1111	06-jul-2018	100.0
repuglican_party is a political party	1111	06-jul-2018	100.0
interactive_computer_graphics is an academic field	1111	06-jul-2018	94.3
tart_pans is an item found in the kitchen	1111	06-jul-2018	99.7
arthropods is a type of ticks	1116	12-sep-2018	95.7
adam and noah are family members	1111	06-jul-2018	93.8
red_coat is a clothing item to go with hat	1111	06-jul-2018	99.9
nissan is a specific automobile maker dealer in garland	1114	25-aug-2018	100.0
the_morgan_library___museum is a museum in the city new_york	1116	12-sep-2018	93.8