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
toronto_environmental_film_and_video_festival is a film festival	1111	06-jul-2018	100.0
n140_ is a year	1111	06-jul-2018	100.0
dinner_shows is a baked good	1111	06-jul-2018	100.0
betty_durden is an African person	1111	06-jul-2018	91.1
control_viruses is a virus	1111	06-jul-2018	98.2
starbucks_coffee_company serves coffee	1114	25-aug-2018	100.0
jeremy_bates coaches in the league nfl	1116	12-sep-2018	100.0
n2014 is the time of the event n70_killed_in_nigeria_bus_blasts	1116	12-sep-2018	100.0
products is a generalization of wheat_flour	1111	06-jul-2018	99.2
nissan is a specific automobile maker dealer in arlington	1114	25-aug-2018	100.0