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
carla_klein is a visual artist	1111	06-jul-2018	96.4
group_adventure_activities is a hobby	1111	06-jul-2018	99.5
scarborough_state_beach is a trail	1111	06-jul-2018	100.0
dill_lemon_and_caper_sauce is a condiment	1111	06-jul-2018	99.8
gaetano_bellei is an architect	1111	06-jul-2018	100.0
henry001 held the position of head	1114	25-aug-2018	98.4
yum_brands has acquired kfc	1114	25-aug-2018	100.0
john_steinbeck wrote the book of_mice_and_men	1111	06-jul-2018	100.0
magglio_ord__ez and curtis_granderson are teammates	1112	24-jul-2018	93.8
james is a politician who holds the office of president	1116	12-sep-2018	100.0