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
city_county_credit_union_st_paul_mn is a credit union	1111	06-jul-2018	100.0
gray_leaf_eared_mouse is a vertebrate	1111	06-jul-2018	100.0
such_meeting is a perception action	1111	06-jul-2018	99.9
resident_psychologist is a profession	1111	06-jul-2018	96.4
__40 is a year	1111	06-jul-2018	100.0
shaquille_oneal is an athlete also known as shaq	1116	12-sep-2018	100.0
david_cone plays for the team yankees	1116	12-sep-2018	93.8
alicia graduated from state_university	1113	15-aug-2018	99.6
hillary_clinton is a person who was written about in the_economist	1116	12-sep-2018	100.0
the sports leage nba uses the venue td_waterhouse_centre	1113	15-aug-2018	100.0