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
national_academy_of_sciences_national_research_council is a part of the government	1111	06-jul-2018	100.0
sligo_festival_of_baroque_music is a music festival	1111	06-jul-2018	100.0
comment_card is an office supply	1112	24-jul-2018	91.5
many_photos is form of visual art	1111	06-jul-2018	98.3
texashold_emtexas is a non-sports, non-electronic game	1111	06-jul-2018	100.0
management is found in valley	1115	03-sep-2018	99.2
john_milius is a person who has attended the school usc	1112	24-jul-2018	100.0
andy_roddick is an athlete who beat williams	1113	15-aug-2018	99.2
greek is a language taught in language schools in the city jerusalem	1112	24-jul-2018	100.0
alessandra_stanley is a journalist that writes for the publication times	1112	24-jul-2018	99.9