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
theodore_roosevelt_lake is a trail	1111	06-jul-2018	100.0
left_vagus_nerve is a kind of brain tissue	1111	06-jul-2018	99.2
rosa_murillo is american	1111	06-jul-2018	91.5
emporker_game is a board game	1111	06-jul-2018	90.5
mixing_container is an item found in the kitchen	1111	06-jul-2018	99.3
ford is a company that produces gt	1114	25-aug-2018	100.0
end is an event at the location central_london	1112	24-jul-2018	93.8
national is a bank in central001	1114	25-aug-2018	96.9
reptiles is an animal that is a kind of small_animals	1112	24-jul-2018	98.4
spider_mites is a type of bugs	1111	06-jul-2018	98.4