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
ksenia_markova is a fashion model	1111	06-jul-2018	100.0
burlington_county_north_jersey is a county	1111	06-jul-2018	100.0
holdem_pokergame_sites is a cardgame	1111	06-jul-2018	99.8
banana_blues_shoes is a kind of clothing	1111	06-jul-2018	100.0
pedro_alvarez is a visual artist	1111	06-jul-2018	93.8
goldman is a bank that has lloyd_blankfein as its CEO	1116	12-sep-2018	96.9
winslow is a city that lies on the river little_colorado	1111	06-jul-2018	96.9
the country fiji uses the currency dollars	1116	12-sep-2018	100.0
black_pepper is an agricultural product that is usually cooked with rosemary	1114	25-aug-2018	98.4
craig_smith is a journalist that writes for the publication times	1112	24-jul-2018	100.0