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
history_link is a criminal	1111	06-jul-2018	100.0
sergio_romo is a Mexican person	1111	06-jul-2018	99.9
flathead_beacon is a publication	1111	06-jul-2018	90.6
more_gratitude is an emotion	1111	06-jul-2018	99.0
state_highway_3 is a highway	1111	06-jul-2018	97.7
china is a country located in the geopolitical location countries	1111	06-jul-2018	100.0
prague_prague is the capital city of the country czech_republic	1116	12-sep-2018	96.9
hampton_coliseum is a stadium or event venue located in the city hampton	1116	12-sep-2018	93.8
language_spanish is the language of the country costa_rica	1116	12-sep-2018	93.8
nintendo_ is related to game_cube	1114	25-aug-2018	100.0