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
john_fiske is a professor	1111	06-jul-2018	100.0
such_meeting is a perception action	1111	06-jul-2018	99.9
legend_of_kage_2 is software	1112	24-jul-2018	100.0
lansdowne_road_stadium is a stadium or event venue	1111	06-jul-2018	100.0
diet_spread_recipes is a recipe	1111	06-jul-2018	99.6
recluse is an arthropod as well as recluse_spider also is	1111	06-jul-2018	100.0
sherwood_drive is a street in the city augusta	1116	12-sep-2018	99.2
agassi is an athlete who wins australian_open	1114	25-aug-2018	100.0
ford is a company that produces ford_mondeo	1114	25-aug-2018	93.8
ray was born in the city orleans	1116	12-sep-2018	94.2