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
reduction_software is a tool	1111	06-jul-2018	99.6
napoleon_hotel is a building	1111	06-jul-2018	93.2
minimum_size_requirement is a political issue	1111	06-jul-2018	100.0
thomas_wood is an architect	1111	06-jul-2018	100.0
nancy_williams is an astronaut	1111	06-jul-2018	100.0
charles has been charged with treason	1115	03-sep-2018	100.0
wendelin_wiedeking is the CEO of the automobile maker company porsche	1116	12-sep-2018	100.0
martinez held the position of pitcher	1111	06-jul-2018	100.0
indinavir is a drug worked on by merck	1114	25-aug-2018	100.0
belly a muscle located in bodypart arms	1115	03-sep-2018	99.9