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
spot_bellied_salamander is an amphibian	1111	06-jul-2018	100.0
james_reston is a journalist	1111	06-jul-2018	100.0
em_internet_poker_poker is a cardgame	1111	06-jul-2018	100.0
gloria_mactaggart is an author in the scientific field of machine learning	1111	06-jul-2018	96.3
draft_act is a legislative bill	1111	06-jul-2018	100.0
jonathan_ornstein is a top member of mesa	1116	12-sep-2018	99.2
j_p__howell is a person also known as j_p__arencibia	1115	03-sep-2018	100.0
dell_inc terminated the employment of michael_dell	1113	15-aug-2018	100.0
alex_chilton is a musician who is part of big_star	1115	03-sep-2018	93.8
the home stadium of marian_hossa is wrigley_field	1116	12-sep-2018	100.0