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
candy_white is a visualizable attribute	1111	06-jul-2018	100.0
jason_streitfeld is a writer	1111	06-jul-2018	91.4
sofa_sleeping is a household item	1111	06-jul-2018	91.8
beal_s_eyed_turtle is an amphibian	1111	06-jul-2018	100.0
n7_24 is a term used by physicists	1111	06-jul-2018	100.0
spiders is an arthropod as well as tarantulas also is	1111	06-jul-2018	98.4
toyota is a specific automobile maker dealer in _uk	1116	12-sep-2018	100.0
ben_roethlisberger is an athlete who injured his/her shoulder	1111	06-jul-2018	100.0
usps is a company also known as united_states_postal_service	1111	06-jul-2018	93.8
needs is a subpart of drinking_water	1111	06-jul-2018	99.8