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
desk_customers is an item found on the floor	1111	06-jul-2018	99.9
def_american_recordings is a record label	1111	06-jul-2018	97.9
vividcon is a convention	1111	06-jul-2018	99.9
tehama_mazda is an automobile manufacturer	1111	06-jul-2018	95.3
bennys_restaurant is a restaurant	1111	06-jul-2018	100.0
michigan_state is a sports team that plays the sport golf	1116	12-sep-2018	100.0
steve001 is an athlete who injured his/her arm	1112	24-jul-2018	99.2
the home stadium of glenn_hall is wrigley_field	1116	12-sep-2018	100.0
presbyterian is a hospital in the city new_york	1116	12-sep-2018	100.0
t_mobile_usa is an organization known by the acronym t_l	1114	25-aug-2018	100.0