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
whole_potatoes is a fruit	1111	06-jul-2018	99.9
chopped_green_pepper is an agricultural product	1111	06-jul-2018	99.7
star_hotel_etoile is a building	1111	06-jul-2018	95.3
trade_street is a highway	1111	06-jul-2018	93.3
sniper_ghost_warrior_2 is software	1111	06-jul-2018	100.0
conexant is a company also known as conexant_systems	1111	06-jul-2018	93.8
usc is a sports team that plays against stanford	1111	06-jul-2018	100.0
pork_shoulder is related to pig	1114	25-aug-2018	100.0
kenwood_house is a park in the city central_london	1116	12-sep-2018	100.0
simeon and reuben are siblings	1113	15-aug-2018	93.8