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
system_create is a video game system	1111	06-jul-2018	98.7
interface_element_parameters is a machine-learning conference	1111	06-jul-2018	99.1
anatoli_solovjov is an astronaut	1111	06-jul-2018	100.0
fur_poker is a cardgame	1111	06-jul-2018	90.1
senate_appropriation_committee is a political organization that is not part of the government	1111	06-jul-2018	100.0
rio_casino is a building located in the city las_vegas	1116	12-sep-2018	100.0
forbes is related to mike_perlis	1116	12-sep-2018	100.0
john_steinbeck wrote the book tortilla_flat	1111	06-jul-2018	100.0
bed is often found in site	1116	12-sep-2018	100.0
baseball is a sport played in the venue county_stadium	1114	25-aug-2018	100.0