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
sofware_capacity is a character trait	1111	06-jul-2018	99.7
edwin_hodge is a commedian	1111	06-jul-2018	98.1
ronald_stewart ia a celebrity	1111	06-jul-2018	90.7
university_of_massachusetts_school_of_law is a university	1111	06-jul-2018	100.0
door_access is an item often found in a hallway	1111	06-jul-2018	99.7
leg a muscle located in bodypart leg	1115	03-sep-2018	93.8
wendelin_wiedeking is the CEO of the automobile maker company porsche	1116	12-sep-2018	100.0
oliver_stone starred in the movie platoon	1111	06-jul-2018	100.0
the country italy uses the currency euros	1116	12-sep-2018	99.8
easyjet is a company that has an office in the city central_london	1112	24-jul-2018	100.0