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
cade_winery is a winery	1111	06-jul-2018	100.0
progressive_mold is a fungus	1111	06-jul-2018	98.8
love_is_the_thing_so_they_say is a song	1111	06-jul-2018	100.0
crystal_bed is a household item	1111	06-jul-2018	91.6
spring_conference is a conference	1111	06-jul-2018	99.7
abreu is a person who has age nonneginteger:n35	1116	12-sep-2018	100.0
kcur is a radio station in the city kansas_city	1116	12-sep-2018	93.8
dan is a person who moved to the state california	1112	24-jul-2018	100.0
rafael_nadal is an athlete who wins wimbledon	1116	12-sep-2018	100.0
crabs is a type of shellfish	1116	12-sep-2018	99.2