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
chicago_cubs_tickets is a stadium or event venue	1111	06-jul-2018	100.0
neck_muscles is a muscle	1111	06-jul-2018	99.8
sainte_catherine_street is a highway	1111	06-jul-2018	100.0
submersed_leaves is a vegetable	1111	06-jul-2018	94.3
n5_00_11_00 is a time	1112	24-jul-2018	100.0
paul is a musician who is part of joe_cocker	1115	03-sep-2018	93.8
brewers is a sports team that won the world_series	1112	24-jul-2018	96.9
heals is a clothing item to go with jeans	1111	06-jul-2018	98.4
john_steinbeck wrote the book the_pearl	1111	06-jul-2018	100.0
n135 is the number of people injured in the event n2009_malagasy_political_crisis	1116	12-sep-2018	100.0