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
kokanee_springs_golf_resort is a place to ski	1111	06-jul-2018	100.0
spring_woods_church_of_christ is a religion	1111	06-jul-2018	100.0
chess_success is an event outcome	1111	06-jul-2018	93.7
aid_resource is a machine-learning conference	1111	06-jul-2018	94.9
david_booth is an Australian person	1111	06-jul-2018	100.0
satan and eve are family members	1111	06-jul-2018	100.0
flowers is an agricultural product produced in uk_	1116	12-sep-2018	100.0
china_construction_bank is a company that has an office in the country china	1114	25-aug-2018	100.0
toyotas is a product produced in __america	1116	12-sep-2018	93.8
mike_smith coaches the team falcons	1116	12-sep-2018	100.0