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
erlebnispark_schloss_thurn is a park	1111	06-jul-2018	93.8
william_sloan is an architect	1111	06-jul-2018	100.0
nellcor_puritan_bennett_inc is a biotech company	1111	06-jul-2018	100.0
william_robson is an author in the scientific field of machine learning	1111	06-jul-2018	99.9
former_yugoslavia is a political organization that is not part of the government	1111	06-jul-2018	100.0
dodge is a specific automobile maker dealer in georgia	1115	03-sep-2018	100.0
edmond is a city located in the geopolitical location central001	1113	15-aug-2018	93.8
russian is the language of the country cis_states	1112	24-jul-2018	96.9
cisco is headquartered in the city san_jose	1116	12-sep-2018	100.0
international_center_for_photography is a museum in the city new_york	1116	12-sep-2018	96.9