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
business_administration_master_of_business_administration is an academic field	1111	06-jul-2018	96.2
n1940_s is a date	1111	06-jul-2018	100.0
mongolian_beef is a type of meat	1111	06-jul-2018	98.4
office_office is a kind of room	1111	06-jul-2018	100.0
english_mother is a monarch	1111	06-jul-2018	97.3
andrew_jacobs is a journalist that writes for the publication new_york_times	1112	24-jul-2018	96.9
knicks is a sports team that plays against magic	1111	06-jul-2018	100.0
triangle has shape altitudes	1112	24-jul-2018	96.9
yugoslav_federation is a country located in the geopolitical location italy	1111	06-jul-2018	93.8
denver_airport is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0