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
interpretive_guide is a profession	1111	06-jul-2018	96.3
currency_exchange_trade is an economic sector	1111	06-jul-2018	99.8
aaron_abrams ia a celebrity	1111	06-jul-2018	100.0
american_massage_therapists_association is a non-profit organization	1111	06-jul-2018	99.6
one_crab is a crustacean	1111	06-jul-2018	99.9
the country saint_helena uses the currency pounds	1116	12-sep-2018	100.0
cable looks like links	1111	06-jul-2018	93.8
kayaking is a sport with fans in the country __america	1116	12-sep-2018	100.0
the home stadium of andrew_shaw is wrigley_field	1116	12-sep-2018	100.0
china_development_bank is a company that has an office in the country china	1111	06-jul-2018	93.8