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
scalenus__anterior_muscle is a muscle	1111	06-jul-2018	99.4
fredericksburg_standard_radio_post is a website	1111	06-jul-2018	100.0
landscape_quality is a character trait	1111	06-jul-2018	99.6
necessary_changes is a cognitive action	1111	06-jul-2018	100.0
student_laptops is a consumer electronic device	1111	06-jul-2018	100.0
thomas_meskill died in the state or province florida	1116	12-sep-2018	100.0
carotid arises from subclavian_artery	1116	12-sep-2018	100.0
paul001 contributed to the creative work cathedral	1114	25-aug-2018	100.0
ferdinand_piech is the CEO of the automobile maker company volkswagen	1116	12-sep-2018	100.0
the companies journal and chicago001 compete with eachother	1111	06-jul-2018	98.4