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
pokerstars_it is a non-sports, non-electronic game	1111	06-jul-2018	100.0
rio_rancho_observer is a newspaper	1111	06-jul-2018	92.8
original_orange is a color	1111	06-jul-2018	100.0
forum_discussions is a hobby	1111	06-jul-2018	100.0
duke_university is a school	1116	12-sep-2018	100.0
earwig is an arthropod that feeds on insects	1115	03-sep-2018	100.0
roddick is an athlete who wins us_open	1116	12-sep-2018	100.0
chicken is an animal that eats wild_mushroom	1112	24-jul-2018	100.0
jane_gross is a journalist that writes for the publication new_york_times	1111	06-jul-2018	98.4
abakan is a city located in the geopolitical location russia	1113	15-aug-2018	100.0