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
icmo is a conference	1111	06-jul-2018	99.1
gamecube_game_cheats is a video game system	1111	06-jul-2018	97.6
posterior_vena_cava is a vein	1111	06-jul-2018	98.8
andrew_duncan is a European person	1111	06-jul-2018	100.0
michael_r__perry is a director	1111	06-jul-2018	92.3
object_storage occurrs at the date april_15__2013	1116	12-sep-2018	100.0
eden and eve are family members	1111	06-jul-2018	100.0
michael_crichton is a person who died at the age of 66	1116	12-sep-2018	100.0
champix is a drug worked on by pfizer	1114	25-aug-2018	96.9
senses is a subpart of the body within system	1111	06-jul-2018	100.0