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
plant_seedlings is a plant	1111	06-jul-2018	100.0
commercial_aviation_magazines is a kind of media	1111	06-jul-2018	99.0
yukio_ninagawa is a director	1111	06-jul-2018	95.3
pepe_jeans is a kind of clothing	1111	06-jul-2018	100.0
n10_minutes_ is a parlour game	1111	06-jul-2018	100.0
conversation_and_discussion_with_an_entrepreneur_and_energy_visionary occurrs in the room kresge_theatre	1116	12-sep-2018	100.0
super_bowl_xliv_the_indianapolis_colts is a sports team that played in games	1113	15-aug-2018	100.0
southgate is a city that lies on the river yarra	1112	24-jul-2018	93.8
kmph_tv is a TV station in the city fresno	1116	12-sep-2018	100.0
agassi is an athlete who beat williams	1114	25-aug-2018	99.2