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
jim_romano is american	1111	06-jul-2018	100.0
ether_sulphate is a chemical	1111	06-jul-2018	100.0
driver_products is sports equipment	1111	06-jul-2018	99.1
tapas_pan_set is an item found in the kitchen	1111	06-jul-2018	99.3
___td___td________td___td___dorsal_lingual_vein is a vein	1111	06-jul-2018	98.1
rodham_clinton is a U.S. politician who holds the office of secretary	1113	15-aug-2018	96.9
ryan is a person who graduated from the university college	1115	03-sep-2018	100.0
press_enterprise is a newspaper in the city riverside	1116	12-sep-2018	96.9
weill_recital_hall is a tourist attraction in the city new_york	1116	12-sep-2018	100.0
jose_padilha is a person who has residence in the geopolitical location brazil	1115	03-sep-2018	100.0