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
ringtone_mouse is an item found on a table	1111	06-jul-2018	99.7
search_privacy_policy is an economic sector	1111	06-jul-2018	99.8
cake_recipe_engineering is an area of study within the field of machine learning	1111	06-jul-2018	100.0
dyan_denapoli is a journalist	1111	06-jul-2018	97.8
dark_texas is a board game	1111	06-jul-2018	100.0
end is an event at the location central_london	1112	24-jul-2018	93.8
birds is an animal that eats fleshy_fruit	1114	25-aug-2018	100.0
ravens hired brian_billick	1113	15-aug-2018	100.0
national_aquarium is an aquarium in the city washington___d___c__	1116	12-sep-2018	100.0
greg_bear contributed to the creative work darwin_s_radio	1111	06-jul-2018	100.0