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
n1950__ is a year	1111	06-jul-2018	100.0
brain_right_brain is a kind of brain tissue	1111	06-jul-2018	98.3
sultan_ahmad_shah_bridge is a bridge	1111	06-jul-2018	98.2
united_states_senate_subcommittee is a political organization that is not part of the government	1111	06-jul-2018	100.0
simone_cat_clock is an item found on a wall	1111	06-jul-2018	99.5

pain is an emotion associated with chronic_pain_syndromes	1115	03-sep-2018	100.0
russian is the language of the country ussr	1114	25-aug-2018	100.0
theodore_roosevelt represents the region states	1115	03-sep-2018	100.0
chevrolet makes the automobile suburban	1114	25-aug-2018	98.4
matt_richtel is a journalist that writes for the publication new_york_times	1111	06-jul-2018	99.2

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts