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
zoo_augsburg is a zoo	1111	06-jul-2018	99.9
em_poquer_online is a board game	1111	06-jul-2018	100.0
eastern_pine_weevil is an insect	1111	06-jul-2018	100.0
phone_ringtone_music is an item found on a table	1111	06-jul-2018	99.7
hope_mason is an African person	1111	06-jul-2018	90.9
charlotte_douglas_international is an attraction that will be fall in city charlotte	1116	12-sep-2018	100.0
the home stadium of joe_tinker is wrigley_field	1116	12-sep-2018	100.0
saab is a specific automobile maker dealer in _uk	1116	12-sep-2018	100.0
kpdx is a TV station in the city portland	1116	12-sep-2018	93.8
larvae is an animal that eats seeds	1115	03-sep-2018	100.0