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
zheng_jiayu is an Asian person	1111	06-jul-2018	100.0
terraced_rice_rat is a mammal	1111	06-jul-2018	100.0
east_timor is a geolocatable thing	1114	25-aug-2018	100.0
james_reston is a journalist	1111	06-jul-2018	100.0
orthogonal_polynomials is a scientific term	1111	06-jul-2018	100.0
byrds is a musician in the genre folk	1111	06-jul-2018	100.0
suvarnabhumi_international is an attraction that will be fall in city bangkok	1116	12-sep-2018	93.8
chevrolet makes the automobile buick_lacrosse	1114	25-aug-2018	93.8
optimizing_password_composition_policies occurrs at the date april_10__2013	1116	12-sep-2018	100.0
carnegie_museum_of_art is a museum in the city pittsburgh	1116	12-sep-2018	100.0