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
green_door is an item often found in a hallway	1111	06-jul-2018	100.0
n6_20 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
topics_students is a victim	1111	06-jul-2018	100.0
michael_morrissey is a criminal	1111	06-jul-2018	100.0
march_2010_elections is an election	1111	06-jul-2018	99.4
hardy is an athlete who injured his/her hand	1115	03-sep-2018	93.8
national is a company that has an office in the country uganda	1114	25-aug-2018	100.0
metlife is a company also known as met	1114	25-aug-2018	100.0
eve and satan are family members	1111	06-jul-2018	100.0
knowshon_moreno and matthew_stafford are teammates	1111	06-jul-2018	93.8