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
ring_tones_ring is an item found on a table	1111	06-jul-2018	99.7
gustav_fechner is a musician	1111	06-jul-2018	99.8
water_basketball is a hobby	1111	06-jul-2018	100.0
western_john_jay_inn is a place to ski	1111	06-jul-2018	90.2
andy_alt is an author in the scientific field of machine learning	1111	06-jul-2018	95.6

spanish is a language used in the university ohio_state_university	1116	12-sep-2018	100.0
english is the language of the country hong_kong	1114	25-aug-2018	100.0
andy_grove is a top member of intel	1116	12-sep-2018	100.0
east_jerusalem is a city located in the geopolitical location palestine	1114	25-aug-2018	100.0
sweeney is an athlete who injured his/her hand	1115	03-sep-2018	96.9

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts