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
new_texas is a board game	1111	06-jul-2018	100.0
american_massage_therapists_association is a non-profit organization	1111	06-jul-2018	99.6
fluid_power is an academic field	1111	06-jul-2018	91.2
courier_standard_enterprise is a political blog	1111	06-jul-2018	99.7
clostridium_thermobutyricum is a bacterium	1111	06-jul-2018	100.0
jack_london was born in san_francisco	1116	12-sep-2018	100.0
little_gas is a generalization of nuclear_missile	1111	06-jul-2018	100.0
ryan_phillippe starred in the movie cruel_intentions	1115	03-sep-2018	98.4
national is a bank in palestine	1114	25-aug-2018	98.4
riverside is a subpart of california	1111	06-jul-2018	100.0