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
welcome_meeting is a perception action	1111	06-jul-2018	92.5
citgo is a pertroleum company	1114	25-aug-2018	100.0
lancia_fulvia_coupe_concept is a kind of vehicle	1111	06-jul-2018	100.0
luis_barroso coaches a sports team	1111	06-jul-2018	95.8
wnne_tv is a TV station	1111	06-jul-2018	99.2
roger_ailes is the CEO of fox_business	1116	12-sep-2018	100.0
pittsburgh_penguins is a sports team that played in eastern_conference	1111	06-jul-2018	93.8
michael_bloomberg represents the region nueva_york	1114	25-aug-2018	100.0
baseball is a sport played in the venue polo_grounds	1112	24-jul-2018	100.0
richmond is a city that lies on the river yarra	1112	24-jul-2018	93.8