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
thermococcus_onnurineus_na1 is a bacterium	1111	06-jul-2018	100.0
conrad_n__hilton_foundation is a part of the government	1111	06-jul-2018	100.0
education_financing is a political issue	1111	06-jul-2018	99.9
school_and_constitutional_amendment_election is an election	1111	06-jul-2018	96.8
n6_30_10_30_p_m_ is a time	1112	24-jul-2018	100.0
r_t__rybak is the leader of the city minneapolis	1116	12-sep-2018	100.0
han and lando are siblings	1112	24-jul-2018	98.4
dept is a synonym for administration	1111	06-jul-2018	93.8
national is a company that has an office in the country panama	1114	25-aug-2018	100.0
islamabad is a city located in the geopolitical location national	1114	25-aug-2018	93.8