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
neelidae is a mollusk	1111	06-jul-2018	100.0
charlie_warner is a U.S. politician	1111	06-jul-2018	99.9
social_report is a physical characteristic	1111	06-jul-2018	100.0
style_american is an ethnic group	1111	06-jul-2018	95.7
don_t_blame_me is a song	1111	06-jul-2018	100.0
komo_tv is a company that has an office in the city seattle	1112	24-jul-2018	99.9
jay_smith is a person who has residence in the state or province texas	1114	25-aug-2018	100.0
the companies paris_match and new_york compete with eachother	1111	06-jul-2018	100.0
state_university is a sports team also known as boise_state_university	1111	06-jul-2018	100.0
young represents the region states	1115	03-sep-2018	98.4