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
john_bernard is a commedian	1111	06-jul-2018	100.0
_04 is a term used by physicists	1111	06-jul-2018	100.0
lemon_pie_recipe is a recipe	1111	06-jul-2018	99.8
martina_colombari is a Canadian person	1111	06-jul-2018	100.0
lamingtoniidae is an insect	1111	06-jul-2018	100.0
william_douglas graduated from college	1114	25-aug-2018	100.0
henry001 has citizenship in the country germany	1114	25-aug-2018	100.0
hornets is a type of insects	1116	12-sep-2018	100.0
maryland_general is a hospital in the city baltimore	1116	12-sep-2018	100.0
n34 is the number of people injured in the event n2006_huntsville__alabama_bus_accident	1116	12-sep-2018	100.0