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
centralworld_plaza is a shopping mall	1111	06-jul-2018	100.0
randal_williams is an athlete	1111	06-jul-2018	100.0
jelly_beans_tabasco_cinnamon is a kind of candy	1111	06-jul-2018	99.2
the_iowa_city_press_citizen is a political blog	1111	06-jul-2018	99.3
sleeper_sofa_couch is a kind of furniture	1111	06-jul-2018	99.7
spiders is an arthropod as well as arthropods also is	1111	06-jul-2018	100.0
jacksonville_jaguars hired mike_mularkey	1112	24-jul-2018	93.8
triangles has shape sides	1112	24-jul-2018	93.8
the companies facebook_follow and youtube compete with eachother	1111	06-jul-2018	93.8
chris_volstad plays for the team chicago_cubs	1116	12-sep-2018	96.9