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
james_boyd is an African person	1111	06-jul-2018	100.0
movies_click is a movie	1111	06-jul-2018	97.7
white_chocolate_dipped_strawberries is a kind of candy	1111	06-jul-2018	96.8
flat_bread is a baked good	1111	06-jul-2018	100.0
tiger_woods_pga_tour_2005 is a video game	1111	06-jul-2018	100.0
midge_ure is a musician who is part of ultravox	1113	15-aug-2018	96.9
top terminated the employment of number	1114	25-aug-2018	99.9
pau_gasol001 is an athlete that flied out to position center	1111	06-jul-2018	100.0
baseball is a sport played in the venue pnc_park	1114	25-aug-2018	100.0
ralph_becker works for salt_lake	1111	06-jul-2018	100.0