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
bilingual_elementary_school_teacher is a job position	1111	06-jul-2018	95.1
travel_clocks is an item often found in a bedroom	1111	06-jul-2018	99.9
plasma_membrane_calcium_transporting_atpase_3 is a protein	1111	06-jul-2018	100.0
aaron_abrams ia a celebrity	1111	06-jul-2018	100.0
kendra_spencer is a director	1111	06-jul-2018	90.9
brandon_duckworth is an athlete that flied out to position center	1111	06-jul-2018	100.0
foliage has color red_orange	1111	06-jul-2018	96.9
hebrew is the language of the country israel	1114	25-aug-2018	100.0
president_clinton is a person who has residence in the geopolitical location arkansas	1112	24-jul-2018	93.8
medecins_sans_frontieres is an organization also known as doctors_without_borders	1111	06-jul-2018	100.0