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
judge_last_friday is a judge	1111	06-jul-2018	98.2
undirected_graphical_models is an area of study within the field of machine learning	1111	06-jul-2018	99.9
chris_navi is a U.S. politician	1111	06-jul-2018	91.3
deutsche_marks is a currency	1111	06-jul-2018	91.1
prescription_antidepressant is a muscle	1111	06-jul-2018	99.5
ea_mobile has acquired origin	1114	25-aug-2018	96.9
israel is the parent of yeshua	1115	03-sep-2018	93.8
n12_51_pm is the time of the event n2011_christchurch_earthquake	1116	12-sep-2018	100.0
european_countries is a generalization of russia	1116	12-sep-2018	99.9
chevrolet is a specific automobile maker dealer in louisville	1114	25-aug-2018	93.8