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 2,730,196 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
usb_flash_memory_stick is a kind of media	1109	16-jun-2018	90.4
fried_rice is a food	1109	16-jun-2018	100.0
good_quality_wine is a beverage	1109	16-jun-2018	94.7
california_medical_instrumentation_association is a non-profit organization	1109	16-jun-2018	99.4
poker_contests is a sports game	1109	16-jun-2018	100.0
n6115 is a room in the building gates___hilman_centers	1114	25-aug-2018	100.0
n10_minutes has color brown	1111	06-jul-2018	98.4
recluse_spiders is called spiders	1111	06-jul-2018	100.0
oil is a generalization of wheat_germ	1109	16-jun-2018	100.0
track is a sport with fans in the country america	1113	15-aug-2018	100.0