Read the Web :: Carnegie Mellon University

NELL: Never-Ending Language Learning

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.

instance	iteration	date learned	confidence
wilmington_international_airport is a transportation system	1111	06-jul-2018	100.0
san_joaquin_gmc is a company	1111	06-jul-2018	95.5
tv_set is an item found in the kitchen	1111	06-jul-2018	99.7
westside_centre is a shopping mall	1111	06-jul-2018	100.0
spectacular_bathrooms is an office building room	1111	06-jul-2018	97.3

washington_d_c_ is the home city of the sports team american_university	1116	12-sep-2018	100.0
cantonese is the language of the country hong_kong	1114	25-aug-2018	100.0
usa is related to st___louis_cardinals	1114	25-aug-2018	100.0
arkhangelsk is a city located in the geopolitical location russia	1113	15-aug-2018	93.8
division is an organization also known as service	1112	24-jul-2018	99.6

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts