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
red_sided_garter_snake is a vertebrate	1111	06-jul-2018	100.0
filo_pastry is a food	1111	06-jul-2018	99.7
class_view_parameters is a machine-learning conference	1112	24-jul-2018	98.5
marcel_van_eeden is an architect	1111	06-jul-2018	100.0
rib_crusher_honey_barbecue_sauce is a condiment	1111	06-jul-2018	99.8
kinsale is a city located in the country ireland	1116	12-sep-2018	99.2
the loosing score of n2006_sugar_bowl was nonneginteger:n35	1116	12-sep-2018	100.0
mary is the parent of son	1111	06-jul-2018	91.1
ivan_seidenberg is the CEO of verizon_communications	1116	12-sep-2018	100.0
clinton_white is related to usa	1116	12-sep-2018	100.0