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
navigation_software is a tool	1111	06-jul-2018	99.8
jabo_ibehre is an Australian person	1111	06-jul-2018	97.9
man_fashion_magazines is a kind of media	1111	06-jul-2018	99.1
purple_rock_crab is a crustacean	1111	06-jul-2018	99.8
yuri_v__usachyov is an astronaut	1111	06-jul-2018	100.0
the companies hong_kong_post and china001 compete with eachother	1111	06-jul-2018	93.8
yeshua is the father of father	1116	12-sep-2018	94.4
whitney_houston and steve_schalchlin are family members	1112	24-jul-2018	100.0
uterus is a subpart of blood	1111	06-jul-2018	99.9
spiders is a type of predators	1111	06-jul-2018	100.0