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
light_development is a perception event	1111	06-jul-2018	93.0
phones_brand is a household item	1111	06-jul-2018	93.9
barrel_tile_roof is something found in or on buildings	1111	06-jul-2018	99.1
paul_wagner is a journalist	1111	06-jul-2018	100.0
the_pueblo_zoo is an aquarium	1111	06-jul-2018	100.0
n13 is the number of people killed in the event n12_killed_and_many_injured_in_pakistan_blast	1116	12-sep-2018	100.0
gas_prices is a generalization of nuclear_missile	1111	06-jul-2018	100.0
the country u_s_ uses the currency dollars	1116	12-sep-2018	100.0
chen works for youtube	1111	06-jul-2018	100.0
john_marshall represents the region states	1113	15-aug-2018	100.0