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
karen_kim is an Asian person	1111	06-jul-2018	100.0
faultiness is a physical characteristic	1112	24-jul-2018	100.0
coppa_agostoni_giro_della_brianza is a sports race	1111	06-jul-2018	100.0
new_york_real_estate_journal is a blog	1111	06-jul-2018	100.0
the_mall_at_steamtown is a shopping mall	1111	06-jul-2018	100.0
michael_douglas has wife catherine	1116	12-sep-2018	100.0
prince has citizenship in the country austria	1114	25-aug-2018	99.9
kgnu is a radio station in the city boulder	1116	12-sep-2018	100.0
octavio_dotel plays the sport baseball	1116	12-sep-2018	99.2
jordan_danks plays the athletic team position player	1113	15-aug-2018	100.0