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
froots_magazine is a magazine	1111	06-jul-2018	99.9
long_term_sub is a job position	1111	06-jul-2018	94.8
charles_connell is a musician	1111	06-jul-2018	100.0
santa_lucia_mountains_slender_salamander is an amphibian	1111	06-jul-2018	100.0
golf_course_engineering is an area of study within the field of machine learning	1111	06-jul-2018	99.9
san_jose is the capital city of the country costa_rica	1116	12-sep-2018	100.0
paul001 graduated from institute	1114	25-aug-2018	99.6
nissan makes the automobile quest	1114	25-aug-2018	98.4
charlesbank_park is a park in the city boston	1116	12-sep-2018	100.0
washington_irving001 was born in nueva_york	1116	12-sep-2018	100.0