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
principal_manager is a job position	1111	06-jul-2018	98.8
wuhan_yangtze_river_bridge is a bridge	1111	06-jul-2018	97.6
open_plan_suites is an office building room	1111	06-jul-2018	98.9
m_4_carbine is a weapon	1111	06-jul-2018	96.3
harvey_chichester is a journalist	1111	06-jul-2018	98.7
leslie_moonves is a top member of cbs_evening_news	1116	12-sep-2018	93.5
new_south_wales is the location of the event n2011_christchurch_earthquake	1116	12-sep-2018	100.0
black_widow is an arthropod as well as widow_spiders also is	1111	06-jul-2018	100.0
waga is headquartered in the city atlanta	1116	12-sep-2018	100.0
the companies the_chicago_tribune and new_york compete with eachother	1111	06-jul-2018	99.9