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
huertas is a currency	1111	06-jul-2018	99.8
rachel_naomi_remen is a person	1111	06-jul-2018	94.0
irciniidae is a mollusk	1112	24-jul-2018	100.0
queens_tribune is a political blog	1111	06-jul-2018	99.4
contact_dell is a book	1111	06-jul-2018	90.5
katsuaki_watanabe is the CEO of the automobile maker company toyota	1116	12-sep-2018	100.0
science concerns information	1115	03-sep-2018	100.0
washington_d_c_ is a city located in the geopolitical location national	1114	25-aug-2018	100.0
the country european_countries uses the currency dollars	1116	12-sep-2018	100.0
san_francisco is a city that lies on the river san_joaquin	1112	24-jul-2018	93.8