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
justin_bryce is a CEO	1111	06-jul-2018	97.7
home_resource_center is a shopping mall	1111	06-jul-2018	100.0
vice_magazine is a newspaper	1111	06-jul-2018	100.0
quadricellariidae is a mollusk	1111	06-jul-2018	100.0
alexander_huber is an astronaut	1111	06-jul-2018	92.9
avastin is expected to come to market on thursday	1116	12-sep-2018	100.0
former_green_bay_packers is a sports team that won the super_bowl	1113	15-aug-2018	100.0
bed is often found in suites	1111	06-jul-2018	100.0
whitney_houston is a musician in the genre recording	1112	24-jul-2018	99.2
national is a company that has an office in the country indonesia	1114	25-aug-2018	100.0