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
_1999 is a year	1111	06-jul-2018	100.0
beautiful_lizards is an animal	1111	06-jul-2018	91.3
lower_columbia_college_fine_arts_gallery is a museum	1111	06-jul-2018	100.0
streptomyces_asterosporus is a bacterium	1111	06-jul-2018	100.0
knysna_town_centre is a skyscraper	1111	06-jul-2018	99.9
steve001 works for work	1112	24-jul-2018	93.8
adidas has acquired reebok	1114	25-aug-2018	100.0
football_players is a generalization of kerry_collins	1116	12-sep-2018	100.0
huawei_technologies was responsible for huawei_ascend_p7_hands_on_review__latest_android_flagship_is_sleek_and_affordable	1115	03-sep-2018	100.0
children is an animal that can develop asperger	1113	15-aug-2018	100.0