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
landmark_credit_union is a bank	1111	06-jul-2018	100.0
n10216 is a ZIP code	1111	06-jul-2018	99.8
cuautla is a city	1111	06-jul-2018	99.8
n2007_chevrolet_uplander is a model of automobile	1111	06-jul-2018	94.7
sides_computer is an item found on a table	1111	06-jul-2018	99.7
anne_perry contributed to the creative work a_breach_of_promise	1111	06-jul-2018	96.9
eve is the parent of garden	1111	06-jul-2018	100.0
kevin_durant is a person also known as jeff_green	1113	15-aug-2018	100.0
nfl_oakland_raiders is a sports team that won the super_bowl	1115	03-sep-2018	100.0
carl and david are siblings	1114	25-aug-2018	93.8