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
dogwood_leaves is a vegetable	1111	06-jul-2018	92.8
n5_2_percentage_points is a machine-learning algorithm	1111	06-jul-2018	99.7
exercise_phase is a non-disease physiological condition	1111	06-jul-2018	95.2
love_ringtone is an item found on a table	1111	06-jul-2018	93.9
classic_furniture is a kind of furniture	1111	06-jul-2018	99.7
amway_arena is a stadium or event venue located in the city orlando	1116	12-sep-2018	96.9
pittsburgh_airport is an attraction that will be fall in city pittsburgh	1116	12-sep-2018	100.0
herds refers to more than one bulls	1112	24-jul-2018	93.8
joseph is a politician who holds the office of president	1115	03-sep-2018	100.0
kbcw is a company that has an office in the city san_francisco	1112	24-jul-2018	100.0