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
northern_huishui_miao___language is a language	1111	06-jul-2018	98.8
tp_farms is a farm	1111	06-jul-2018	99.8
cloverdale_hotels is a hotel	1111	06-jul-2018	94.7
memorial_hermann_heart is a hospital	1111	06-jul-2018	93.7
n01_06_2012 is a dataset used within the scientific field of machine learning	1111	06-jul-2018	100.0
rick_vandenhurk is an athlete that flied out to position center	1111	06-jul-2018	100.0
kelly is a person who moved to the state california	1111	06-jul-2018	99.6
kannada is the language of the country india	1115	03-sep-2018	100.0
cbs58 is a TV station in the city downtown_milwaukee	1116	12-sep-2018	100.0
the sports leage nfl uses the venue edward_jones_dome	1114	25-aug-2018	100.0