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
aiseesoft_iphone_4s_to_computer_transfer is a video game system	1111	06-jul-2018	98.8
n09_23_2009 is a dataset used within the scientific field of machine learning	1111	06-jul-2018	100.0
verichron_clock is an item found on a wall	1111	06-jul-2018	99.5
sundome is a stadium or event venue	1111	06-jul-2018	92.6
consciosness is an emotion	1111	06-jul-2018	96.7
george_w_bush represents the region state001	1116	12-sep-2018	100.0
nissan is a specific automobile maker dealer in garland	1114	25-aug-2018	100.0
basketball is a sport played in the venue conseco_fieldhouse	1115	03-sep-2018	100.0
xi_an_in_shaanxi_province is a city located in the country china	1116	12-sep-2018	100.0
movie_actors is a generalization of sigourney_weaver	1116	12-sep-2018	100.0