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
n27103 is a ZIP code	1111	06-jul-2018	99.6
organic_electronics_association is a professional organization	1111	06-jul-2018	99.9
hocks is a visualizable object	1111	06-jul-2018	98.5
m_night_shyamalan is a male	1111	06-jul-2018	90.3
lee_hotels is a park	1111	06-jul-2018	91.0
lg_electronics_inc was responsible for lg_2014_smart_tvs__everything_you_need_to_know	1115	03-sep-2018	100.0
spider_mites is a type of insects	1111	06-jul-2018	100.0
jeff is a person who has attended the school college	1114	25-aug-2018	98.4
saint has citizenship in the country hungary	1112	24-jul-2018	98.4
bed is often found in style_room	1111	06-jul-2018	100.0