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
bloods_vessels is an artery	1111	06-jul-2018	99.9
i_m_gonna_lock_my_heart is a song	1111	06-jul-2018	100.0
dean_deblois is a Canadian person	1111	06-jul-2018	100.0
_262 is a year	1111	06-jul-2018	100.0
supraglenoid_tubercle is a vein	1111	06-jul-2018	99.5
oliver_stone contributed to the creative work jfk	1111	06-jul-2018	100.0
rsa_in_the_real_world occurrs in the building gates___hillman_centers	1116	12-sep-2018	100.0
the home stadium of geovany_soto is wrigley_field	1116	12-sep-2018	100.0
kobe_bryant is an athlete who wins nba_championship	1116	12-sep-2018	100.0
round_pond_station is a lake in the state or province maine	1116	12-sep-2018	100.0