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
expensive_valentine is a visualizable scene	1111	06-jul-2018	99.4
john__ is a U.S. politician	1111	06-jul-2018	100.0
taskbar_clock is an item found on a wall	1111	06-jul-2018	99.9
oregon_territory_federal_credit_union is a credit union	1111	06-jul-2018	100.0
scalenus__anterior_muscle is a muscle	1111	06-jul-2018	99.4
invertebrates is a type of spiders	1111	06-jul-2018	90.6
robot_futures occurrs at the date april_3__2013	1116	12-sep-2018	100.0
black_pepper is an agricultural product that is usually cooked with onion	1114	25-aug-2018	100.0
gas is a chemical that is a kind of power_plants	1112	24-jul-2018	99.6
forbes_field is an attraction that will be fall in city oakland	1116	12-sep-2018	100.0