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
four_miles_round_trip is a parlour game	1111	06-jul-2018	100.0
seven_chairs is a kind of furniture	1111	06-jul-2018	100.0
brain_adenylate_cyclase_1 is a protein	1111	06-jul-2018	100.0
tehama_mazda is an automobile manufacturer	1111	06-jul-2018	95.3
zoo_rostock is a zoo	1111	06-jul-2018	99.8
prince_edward_island is a sate or province located in the country canada	1116	12-sep-2018	100.0
president_warren_harding is a politician who holds the office of secretary	1111	06-jul-2018	100.0
stephen is a person who was written about in the_new_york_times	1116	12-sep-2018	100.0
fenway is the home venue for the sports team boston_red	1116	12-sep-2018	100.0
pete_sampras is an athlete who beat patrick_rafter	1111	06-jul-2018	100.0