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
late_republic is a country	1111	06-jul-2018	96.9
john_paxton is a writer	1111	06-jul-2018	100.0
roy_ray is a professor	1111	06-jul-2018	91.2
en__suite_bathroom is an office building room	1111	06-jul-2018	97.5
english_the is a language	1111	06-jul-2018	99.2
national_league is headquartered in the state or province new_york	1116	12-sep-2018	100.0
ray is a musician who plays the vocals	1112	24-jul-2018	100.0
enid_blyton contributed to the creative work noddy	1113	15-aug-2018	96.9
robert_smith is a musician who is part of the_cure	1115	03-sep-2018	98.4
biden is a U.S. politician endorsed by the U.S. politician sarah_palin	1112	24-jul-2018	100.0