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
academic_misconduct ia a crime or charge	1111	06-jul-2018	100.0
comments_subscribe_subscribe is software used by machine-learning scientists	1111	06-jul-2018	99.3
well_appointed_guestrooms is an office building room	1111	06-jul-2018	99.2
invading_germans is an ethnic group	1111	06-jul-2018	94.8
hazelnut_tea is a beverage	1111	06-jul-2018	99.9
andrea_pirlo plays the athletic team position player	1113	15-aug-2018	91.5
widow_spiders is an arthropod as well as spiders also is	1112	24-jul-2018	100.0
eric_mangini coaches in the league nfl	1116	12-sep-2018	100.0
nonneginteger:n38 was the winning score in n2006_sugar_bowl	1116	12-sep-2018	100.0
sutent is a drug worked on by pfizer	1114	25-aug-2018	99.9