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
edwards_lake is a trail	1111	06-jul-2018	100.0
small_sofa_set is an item found on the floor	1111	06-jul-2018	99.7
inter_agency_meeting is a perception action	1111	06-jul-2018	93.4
federal_creek is a river	1111	06-jul-2018	100.0
two_prediction is a parlour game	1111	06-jul-2018	100.0
joseph_conrad contributed to the creative work heart_of_darkness	1111	06-jul-2018	100.0
crestone_peak is related to north_america	1111	06-jul-2018	100.0
n3_ looks like screen	1112	24-jul-2018	99.6
brewers is a sports team that played in series	1112	24-jul-2018	100.0
white_waistcoat is a clothing item to go with tie	1111	06-jul-2018	93.8