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
kpdx is a TV station	1111	06-jul-2018	99.8
rashad_jeanty is an athlete	1111	06-jul-2018	98.7
circle_restaurant is a restaurant	1111	06-jul-2018	100.0
polished_gold is a color	1111	06-jul-2018	100.0
exchange_regulations is an economic sector	1111	06-jul-2018	99.9
george_clinton is a person who has residence in the geopolitical location new_york	1114	25-aug-2018	100.0
geoff_rickley is a musician who is part of thursday	1114	25-aug-2018	93.8
bank_one_ballpark is a stadium or event venue located in the city downtown_phoenix	1116	12-sep-2018	99.8
amram is the father of moses	1116	12-sep-2018	99.8
china is a country also known as bangladesh	1111	06-jul-2018	93.8