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
chopped_green_pepper is an agricultural product	1111	06-jul-2018	99.7
light_grey_line is a perception event	1111	06-jul-2018	96.1
angela_henry is a professor	1111	06-jul-2018	91.0
wpbt is a TV station	1111	06-jul-2018	99.3
e_magazine is a newspaper	1111	06-jul-2018	100.0
quarterback_matt_stafford and knowshon_moreno are teammates	1111	06-jul-2018	93.8
fix is a restaurant in the city las_vegas	1116	12-sep-2018	100.0
microsoft_corporation001 is a synonym for basic	1111	06-jul-2018	100.0
liam_gallagher got married in n1997	1116	12-sep-2018	100.0
takeo_fukui is the CEO of the automobile maker company honda	1116	12-sep-2018	100.0