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
wrek is a radio station	1111	06-jul-2018	96.9
stonecutters__association_of_north_america is a trade union	1111	06-jul-2018	91.7
mohd_fairuz is an African person	1111	06-jul-2018	90.6
tarragon_hors_doeuvres_recipe is a recipe	1111	06-jul-2018	99.6
geremonty_drive is a highway	1111	06-jul-2018	93.0
clinton is a U.S. politician endorsed by the U.S. politician jon_stewart	1113	15-aug-2018	93.8
tomato is related to india	1115	03-sep-2018	100.0
external_carotid_artery arises from common_carotid_artery	1116	12-sep-2018	100.0
pushkin was born in moscow	1116	12-sep-2018	100.0
habitat_for_humanity hired millard_fuller	1113	15-aug-2018	100.0