Read the Web :: Carnegie Mellon University

NELL: Never-Ending Language Learning

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.

instance	iteration	date learned	confidence
avoriaz is a visualizable scene	1111	06-jul-2018	99.4
william_hooks_1_7_0_5_7215en_a_dozen_dogs is a European person	1111	06-jul-2018	100.0
food_recipes_engineering is an area of study within the field of machine learning	1111	06-jul-2018	100.0
coronovirus is a virus	1111	06-jul-2018	97.2
artesia_high_school is a county	1111	06-jul-2018	90.4

cw_network is an organization known by the acronym cnn__pbs	1116	12-sep-2018	99.6
bilhah is the parent of dan	1112	24-jul-2018	93.8
charlotte is the capital city of the country us	1116	12-sep-2018	93.8
room_1495 is a room in the building biomedical_science_tower	1116	12-sep-2018	100.0
tuiasosopo and luis_valbuena are teammates	1111	06-jul-2018	93.8

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts