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
clarion_county is an airport	1111	06-jul-2018	100.0
beckersurf_com is a retail store	1111	06-jul-2018	100.0
al_leiter is an athlete	1111	06-jul-2018	100.0
contextual_information is a scientific term	1111	06-jul-2018	100.0
vladimir_ljahov is an astronaut	1111	06-jul-2018	100.0
ravens is a sports team that won the super_bowl_xlii	1113	15-aug-2018	100.0
role is found in observatory	1111	06-jul-2018	98.4
starbucks_coffee_company serves arabica	1114	25-aug-2018	100.0
sports is a sport taught in the country __america	1116	12-sep-2018	100.0
nissan makes the automobile nissan_altima	1114	25-aug-2018	100.0