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
european_leafroller is an arthropod	1111	06-jul-2018	100.0
international_facilities_managers_association is a non-profit organization	1111	06-jul-2018	99.5
consumer_magazine is a magazine	1111	06-jul-2018	100.0
steve_oedekerk is a director	1111	06-jul-2018	100.0
william_rohr is a journalist	1111	06-jul-2018	100.0
european_airports is a generalization of london_city	1115	03-sep-2018	100.0
spiders is an arthropod that looks like ants	1111	06-jul-2018	100.0
gabe_gross plays for the team tampa_bay_devil_rays	1116	12-sep-2018	93.8
the sports team yankees was the winner of championship	1116	12-sep-2018	100.0
abram and ishmael are family members	1111	06-jul-2018	93.8