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
berryman_creek is a river	1111	06-jul-2018	100.0
desk_operation is an item found on the floor	1111	06-jul-2018	99.8
telus_mobility is an organization	1114	25-aug-2018	91.5
steve_scott is american	1111	06-jul-2018	100.0
spring_shoes is a kind of clothing	1111	06-jul-2018	100.0
h__pylori is a bacteria that causes infection	1115	03-sep-2018	100.0
national is a bank that bought indian_bank	1114	25-aug-2018	100.0
spiders is an arthropod that looks like mites	1111	06-jul-2018	100.0
turkmenistan is a country also known as china	1111	06-jul-2018	93.8
chuck_noll coaches in the league nfl	1116	12-sep-2018	100.0