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
ngo_committee is a political organization that is not part of the government	1111	06-jul-2018	100.0
steve_oedekerk is a director	1111	06-jul-2018	100.0
family_skiing is a sport	1111	06-jul-2018	99.9
n15_1 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
frederick_s__upton is a politician	1111	06-jul-2018	100.0
t_s__eliot was born in saint_louis	1116	12-sep-2018	100.0
cells is a subpart of the body within kidney	1111	06-jul-2018	99.2
rio_hotel is a building located in the city las_vegas	1116	12-sep-2018	99.6
the coach kurt_warner won the trophy or tournament super_bowl_xlii	1112	24-jul-2018	100.0
clinton_white is related to english	1116	12-sep-2018	100.0