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
diet_spread_recipes is a recipe	1111	06-jul-2018	99.6
ski_gloves is sports equipment	1111	06-jul-2018	96.4
bahia_principe_akumal_hotel is a hotel	1111	06-jul-2018	98.2
worcester_cathedral_priory is a place of worship	1111	06-jul-2018	99.9
foie_gras_sauce is a condiment	1111	06-jul-2018	99.9
countries is a generalization of canada	1116	12-sep-2018	100.0
piedmont_road is a street in the city atlanta	1116	12-sep-2018	100.0
connie is a person who has attended the school college	1114	25-aug-2018	96.9
heavenly_father is the father of son	1116	12-sep-2018	100.0
general_mitchell_international is an attraction that will be fall in city downtown_milwaukee	1116	12-sep-2018	93.8