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
indo_pacific_bonefish is a fish	1111	06-jul-2018	100.0
exercise_phase is a non-disease physiological condition	1111	06-jul-2018	95.2
chocolate_cadburys_boost_bar_605g is a kind of candy	1111	06-jul-2018	98.3
the_happy_prince_and_other_stories is a book	1111	06-jul-2018	100.0
mount_masoerai is a mountain	1111	06-jul-2018	100.0
eu_member_states is a generalization of eastern_european_countries	1115	03-sep-2018	100.0
pete_seeger is a musician in the genre folk	1113	15-aug-2018	100.0
soccer is a sport with fans in the country __america	1116	12-sep-2018	100.0
kate has husband prince_william	1116	12-sep-2018	99.9
abraham_s is the father of isaac	1116	12-sep-2018	93.8