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
mr_justice_underhill is a judge	1111	06-jul-2018	97.3
freshwater_boating is a hobby	1111	06-jul-2018	99.8
cave_lake is a trail	1111	06-jul-2018	100.0
distal_posterior_inferior_cerebellar_artery is an artery	1111	06-jul-2018	99.4
research_advisory_committee is a political organization that is not part of the government	1111	06-jul-2018	100.0
henry is a politician who holds the office of president	1113	15-aug-2018	98.4
spiders is an arthropod as well as recluse also is	1111	06-jul-2018	100.0
blaine_boyer plays the sport baseball	1116	12-sep-2018	99.6
kabc is a radio station in the city los_angeles_ca	1116	12-sep-2018	100.0
waldorf is a hotel in the city new_york	1116	12-sep-2018	100.0