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
east_matunuck_state_beach is a trail	1111	06-jul-2018	100.0
floor_clocks is an item found on a wall	1111	06-jul-2018	99.9
exhortation_engineering is an area of study within the field of machine learning	1111	06-jul-2018	99.9
weekly_phone is an item found on a table	1111	06-jul-2018	94.0
brdo is a geopolitical entity that is a location	1111	06-jul-2018	92.4
sega is related to master_system	1114	25-aug-2018	99.6
victoria is the capital city of the state or province bc	1116	12-sep-2018	100.0
recovery is a subpart of the body within system	1111	06-jul-2018	99.2
jeff_green is a person also known as kevin_durant	1113	15-aug-2018	100.0
justine_henin_hardenne is an athlete who beat kuznetsova	1115	03-sep-2018	100.0