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
warming_activity is a physical action	1111	06-jul-2018	95.9
prendere_decisioni is a wine	1111	06-jul-2018	99.5
credit_payday_loan is a shopping mall	1111	06-jul-2018	100.0
tiger_woods_pga_tour_2005 is a video game	1111	06-jul-2018	100.0
debi_davis is a professor	1111	06-jul-2018	91.2
ed_colligan is the CEO of palm_inc	1116	12-sep-2018	99.7
tim_spooneybarger plays the sport baseball	1116	12-sep-2018	93.8
george_w is a U.S. politician who holds the office of president	1114	25-aug-2018	93.8
dravidian_language is the language of the country india	1115	03-sep-2018	93.8
bohemia is a city located in the state or province new_york	1116	12-sep-2018	93.8