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
baldwin_beach is a trail	1111	06-jul-2018	100.0
n2002_toyota_sienna is a model of automobile	1111	06-jul-2018	90.8
al_yaquob_tower_construction is a skyscraper	1111	06-jul-2018	100.0
sugar_substitutes is a fruit	1111	06-jul-2018	99.3
n20_02_2008 is a dataset used within the scientific field of machine learning	1111	06-jul-2018	100.0
brian_falkenborg is an athlete that flied out to position center	1111	06-jul-2018	100.0
him contributed to the creative work commandments	1113	15-aug-2018	100.0
virginia_beach is a city located in the state or province virginia	1116	12-sep-2018	100.0
china is a country also known as belgium	1111	06-jul-2018	93.8
smithsonian_national_zoological_park is a zoo in the city washington___d___c__	1116	12-sep-2018	100.0