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
client_texas is a board game	1111	06-jul-2018	100.0
burke_jones is a director	1111	06-jul-2018	94.2
table_mount is a mountain range	1111	06-jul-2018	99.7
seperate_shower_room is an item often found in a bathroom	1111	06-jul-2018	100.0
the_elm is a publication	1111	06-jul-2018	91.8
the_900_shops is a shopping mall in the city chicago_south	1116	12-sep-2018	100.0
major_international_airports is a generalization of narita_international_airport	1113	15-aug-2018	100.0
baseball is a sport played in the venue rfk_stadium	1114	25-aug-2018	100.0
iced_water is a beverage made from juice	1114	25-aug-2018	93.8
riverside is a subpart of california	1111	06-jul-2018	100.0