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
center_dover is a sports team position	1111	06-jul-2018	98.1
being_the_2001_embassy_world_championship is a sports game	1111	06-jul-2018	99.7
therapy_phase is a non-disease physiological condition	1111	06-jul-2018	95.5
world_class_boxing is a sport	1111	06-jul-2018	100.0
blue_ribbon_fruit_cake is a baked good	1111	06-jul-2018	100.0
raptors is a sports team that plays against chicago_bulls	1111	06-jul-2018	100.0
role is found in valley	1111	06-jul-2018	96.9
national is a bank that bought andhra_bank	1114	25-aug-2018	100.0
maryland is a sate or province located in the country south_korea	1116	12-sep-2018	100.0
kevin_martin is an athlete who led kings	1116	12-sep-2018	100.0