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
bsx_records is a record label	1111	06-jul-2018	99.9
tower_hill_area is a monument	1111	06-jul-2018	99.9
burch_pond is a lake	1111	06-jul-2018	100.0
southington_connecticut is a geopolitical entity that is a location	1111	06-jul-2018	92.2
dewey_nicks is a director	1111	06-jul-2018	92.1
dan and ned are siblings	1112	24-jul-2018	93.8
habitat_for_humanity hired millard_fuller	1113	15-aug-2018	100.0
ferguson is an athlete who injured his/her hand	1111	06-jul-2018	98.4
mount_logan is related to north_america	1111	06-jul-2018	100.0
airtran is a company that has an office in the city atlanta	1111	06-jul-2018	100.0