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
cutlery_set is an item found in the kitchen	1111	06-jul-2018	100.0
jaya_bachchan is an Asian person	1111	06-jul-2018	100.0
yum_recordings is a record label	1111	06-jul-2018	98.3
alfred_luttermann is a monarch	1111	06-jul-2018	97.1
mark_tonderai is a director	1111	06-jul-2018	100.0
tim_burton directed the movie ed_wood	1115	03-sep-2018	100.0
chase_bank terminated the employment of david_rockefeller	1114	25-aug-2018	100.0
super_bowl_xliv_the_indianapolis_colts participated in the event games	1113	15-aug-2018	100.0
facebook operates the website developers_facebook_com	1115	03-sep-2018	100.0
kbeh is a company that has an office in the city los_angeles_ca	1111	06-jul-2018	99.9