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
rita_jackson coaches a sports team	1111	06-jul-2018	91.3
sixty_two_years is a non-disease physiological condition	1111	06-jul-2018	92.6
b_c__chapter is a political organization that is not part of the government	1111	06-jul-2018	90.5
shabda_raaj is an Australian person	1111	06-jul-2018	91.3
hull_area is a monument	1111	06-jul-2018	100.0
t_j__ford is a person also known as t__j__ford	1113	15-aug-2018	100.0
rita_wilson has husband tom_hanks	1116	12-sep-2018	96.9
european_countries is a generalization of russia	1116	12-sep-2018	99.9
ford is a company that produces ford_taurus	1114	25-aug-2018	100.0
mr__bush is a U.S. politician endorsed by the U.S. politician clinton	1112	24-jul-2018	99.2