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
georgia_governor is a kind of office held by a politician	1111	06-jul-2018	100.0
foot_care_cream is a product	1111	06-jul-2018	97.0
debi_davis is a professor	1111	06-jul-2018	91.2
recruiting_magazines is a kind of media	1111	06-jul-2018	99.0
benihana_magic_mustard_sauce is a condiment	1111	06-jul-2018	99.9
sigourney_weaver starred in the movie aliens	1116	12-sep-2018	100.0
the sports leage ncaa uses the venue wien_stadium	1111	06-jul-2018	100.0
sony is a company in the economic sector of consumer_electronics	1111	06-jul-2018	100.0
bed is often found in one_bed_room	1111	06-jul-2018	100.0
adventures is a generalization of horseback_riding	1111	06-jul-2018	93.8