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
araneus_mauensis_ocellatus is an arachnid	1111	06-jul-2018	100.0
four_day_festival is a music festival	1111	06-jul-2018	100.0
volos is a city	1111	06-jul-2018	99.8
n06_18_2005 is a dataset used within the scientific field of machine learning	1111	06-jul-2018	100.0
wyandot_lake is a park	1111	06-jul-2018	96.2
national is a bank in egypt	1114	25-aug-2018	100.0
walter graduated from college	1112	24-jul-2018	98.4
tv looks like area	1114	25-aug-2018	100.0
howard_blume is a journalist that writes for the publication times	1112	24-jul-2018	93.8
st___louis_cardinals is a sports team that plays the sport baseball	1116	12-sep-2018	99.9