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
eaton_creek is a mountain range	1111	06-jul-2018	99.9
n20_04_2010 is a dataset used within the scientific field of machine learning	1111	06-jul-2018	100.0
church_of_the_saviour_baptist is a religion	1111	06-jul-2018	100.0
ronald_stewart ia a celebrity	1111	06-jul-2018	90.7
spicy_fig_sauce is a condiment	1111	06-jul-2018	99.9
amway_arena is a stadium or event venue located in the city orlando	1116	12-sep-2018	96.9
the coach josh_anderson won the trophy or tournament world_series	1115	03-sep-2018	100.0
dallas_mcpherson plays the sport baseball	1116	12-sep-2018	100.0
usa_today is a newspaper in the city new_york	1116	12-sep-2018	100.0
lupron is a drug worked on by abbot_laboratories	1114	25-aug-2018	98.4