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
sean_walton is american	1111	06-jul-2018	91.5
wrestling_u_s_a_magazine is a magazine	1111	06-jul-2018	99.9
sandra_chastain is a writer	1111	06-jul-2018	100.0
joanna_baillie is a female	1111	06-jul-2018	100.0
applebees_tuscan_cheese is a cheese	1111	06-jul-2018	90.6

commission_junction_and_linkshare is an organization known by the acronym commision_junction	1114	25-aug-2018	100.0
china is a country located in the geopolitical location world_countries	1111	06-jul-2018	99.8
side_dishes is a generalization of beans	1114	25-aug-2018	96.9
mma is a sport with fans in the country _uk	1116	12-sep-2018	100.0
calhoun is a person who belongs to the organization hall_of_fame	1111	06-jul-2018	93.8

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts