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
barbara_poker is a cardgame	1111	06-jul-2018	92.7
evan_bloodoff is a Mexican person	1111	06-jul-2018	94.4
john_bernard is a commedian	1111	06-jul-2018	100.0
cadherin_5 is a protein	1111	06-jul-2018	100.0
warming_emergency is a physical action	1111	06-jul-2018	93.1
sponges is a type of sea_creatures	1113	15-aug-2018	100.0
uk_airports is a generalization of london_city	1115	03-sep-2018	99.8
anne_perry wrote the book execution_dock	1111	06-jul-2018	100.0
systems is a subpart of hot_water	1111	06-jul-2018	100.0
gulf_stream is a lake in the state or province florida	1116	12-sep-2018	100.0