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
reduced___fat_carrot_cake is a baked good	1111	06-jul-2018	100.0
n0_10_0 is a machine-learning algorithm	1111	06-jul-2018	98.9
communist_new_people_s_army is a terrorist organization	1111	06-jul-2018	99.8
n12891 is a ZIP code	1111	06-jul-2018	99.8
new_york_times_news_service is a website	1111	06-jul-2018	100.0
seattle_seahawks_21_10 is a sports team that won the super_bowl	1113	15-aug-2018	100.0
uk_guardian is a newspaper in the city new_york	1116	12-sep-2018	100.0
the country us_ uses the currency dollars	1116	12-sep-2018	100.0
clive_davis001 is a person who has age nonneginteger:n76	1116	12-sep-2018	100.0
national is a bank in indonesia	1114	25-aug-2018	100.0