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
genuine_record is a political blog	1111	06-jul-2018	99.2
artesia_high_school is a county	1111	06-jul-2018	90.4
ward_doors is something found in or on buildings	1111	06-jul-2018	98.5
zoo_la_garenne is a zoo	1111	06-jul-2018	100.0
small_explosive is a weapon	1111	06-jul-2018	96.5
arnold_schwarzenegger is a U.S. politician who holds the office of california_governor	1116	12-sep-2018	100.0
arachnids is called opiliones	1111	06-jul-2018	100.0
the country zimbabwe uses the currency dollars	1116	12-sep-2018	99.9
the sports leage irl uses the venue daytona_international_speedway	1113	15-aug-2018	96.9
president_warren_harding is a politician who holds the office of secretary	1111	06-jul-2018	100.0