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
moscato_wine is a beverage	1111	06-jul-2018	100.0
barbados_amaryllis_beach_resort is a place to ski	1111	06-jul-2018	90.8
new_mexico_territory is a geopolitical entity that is an organization	1111	06-jul-2018	94.5
michael_i is a monarch	1111	06-jul-2018	96.7
much_of_the_original_rennie_bridge is a bridge	1111	06-jul-2018	99.3
tom_lehman was born in the city austin	1116	12-sep-2018	100.0
reptiles is an animal that preys on creatures	1112	24-jul-2018	93.8
eggs is an agricultural product coming from hawksbill	1113	15-aug-2018	93.7
fix is a restaurant in the city las_vegas	1116	12-sep-2018	100.0
community_arts is an academic program at the university college	1111	06-jul-2018	96.9