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
colli_di_scandiano is a wine	1111	06-jul-2018	99.3
original_light_green is a color	1111	06-jul-2018	99.8
lucien_labaudt is a visual artist	1111	06-jul-2018	92.9
shalonda_bean is a legume	1111	06-jul-2018	97.9
big_wind_storm is a weather phenomenon	1111	06-jul-2018	98.3
the country syria uses the currency pound	1116	12-sep-2018	100.0
yma_sumac held the position of soprano	1115	03-sep-2018	100.0
franklin_roosevelt represents the region state001	1116	12-sep-2018	100.0
susan_sarandon created the organziation creative_coallition	1115	03-sep-2018	100.0
marvell_semiconductor has acquired intel	1114	25-aug-2018	93.8