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
nancy_williams is an astronaut	1111	06-jul-2018	100.0
alabama_state_employees_credit_union is a bank	1111	06-jul-2018	100.0
french_park is a stadium or event venue	1111	06-jul-2018	100.0
n12_04_08 is a dataset used within the scientific field of machine learning	1112	24-jul-2018	100.0
foam_chair_bed is a kind of furniture	1111	06-jul-2018	99.7
assam is a state or province located in the geopolitical location india	1115	03-sep-2018	100.0
william_r__forstchen wrote the book one_second_after	1112	24-jul-2018	98.4
arne_duncan is a U.S. politician who holds the office of secretary	1115	03-sep-2018	93.8
usa is related to st___louis_cardinals	1114	25-aug-2018	100.0
canoe is a sport taught in the country __america	1116	12-sep-2018	100.0