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
comments_review is software used by machine-learning scientists	1111	06-jul-2018	99.6
corning_hotels is a park	1111	06-jul-2018	90.7
battle_of_lorraine is a military conflict	1111	06-jul-2018	100.0
n2006_11_02 is a date	1111	06-jul-2018	100.0
breakfast_biscuits is a baked good	1111	06-jul-2018	100.0
aaron_rodgers is a person also known as j_p__ricciardi	1115	03-sep-2018	100.0
wichita_state is an organization also known as state_university	1113	15-aug-2018	99.9
english is the language of the country _uk	1116	12-sep-2018	100.0
summer_dresses is a clothing item to go with skirts	1111	06-jul-2018	93.8
howard_blume is a journalist that writes for the publication times	1112	24-jul-2018	93.8