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
kick_off_meeting is a perception action	1111	06-jul-2018	99.9
plug_doors is an item often found in a hallway	1111	06-jul-2018	100.0
fastest_growing_financial_crime ia a crime or charge	1111	06-jul-2018	100.0
arab_muslim is a religion	1111	06-jul-2018	100.0
evening_post is a blog	1111	06-jul-2018	99.9
mccarran_international is an attraction that will be fall in city las_vegas	1116	12-sep-2018	100.0
ktm is a specific automobile maker dealer in _uk	1116	12-sep-2018	100.0
cnn__msnbc is a company in the economic sector of media	1112	24-jul-2018	100.0
the sports team yankees was the winner of n1949_world_series	1116	12-sep-2018	100.0
citibank is a bank in hong_kong	1114	25-aug-2018	100.0