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
home__d is a location	1111	06-jul-2018	98.9
associate_justice_william_rehnquist is a judge	1111	06-jul-2018	98.8
phosphatidylinositol is a protein	1111	06-jul-2018	91.4
steel_cups is an item found in the kitchen	1111	06-jul-2018	99.8
internet_ordering is a physical action	1111	06-jul-2018	94.8
lake_burton is a lake in the state or province georgia	1116	12-sep-2018	100.0
baseball_players is a generalization of pedro_martinez	1116	12-sep-2018	100.0
lexus is a specific automobile maker dealer in dallas	1114	25-aug-2018	100.0
jobs is a person who moved to the state west_virginia	1115	03-sep-2018	99.8
the companies chicago001 and journal compete with eachother	1111	06-jul-2018	98.4