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
access_the_link is a visualizable object	1111	06-jul-2018	99.1
port_of_marsa_elhariga_oil_terminal is a transportation port	1111	06-jul-2018	100.0
john_bernard is a commedian	1111	06-jul-2018	100.0
michael_barrett is a politician	1111	06-jul-2018	100.0
turquoise_fronted_parrot is a bird	1111	06-jul-2018	100.0
the country cayman_islands uses the currency dollars	1116	12-sep-2018	100.0
kuznetsova is an athlete who wins us_open	1115	03-sep-2018	100.0
n6115 is a room in the building gates___hilman_centers	1116	12-sep-2018	100.0
capital is a city also known as washington_d_c_	1113	15-aug-2018	93.8
bicep a muscle located in bodypart arm	1111	06-jul-2018	100.0