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
jelly_beans__tropical_mix is a kind of candy	1111	06-jul-2018	98.5
robert_downey_jr_ is a director	1111	06-jul-2018	100.0
n20_03_2008 is a dataset used within the scientific field of machine learning	1111	06-jul-2018	100.0
the_parahippocampal_gyrus is a kind of brain tissue	1111	06-jul-2018	96.7
access_the_link is a visualizable object	1111	06-jul-2018	99.1
ford is a company that produces galaxy	1114	25-aug-2018	98.4
washington_d_c_ terminated the employment of ty_willingham	1113	15-aug-2018	100.0
steven_spielberg directed the movie close_encounters	1115	03-sep-2018	100.0
the country __america uses the currency dollars	1116	12-sep-2018	100.0
linas_kleiza is a person also known as j_r__smith	1115	03-sep-2018	100.0