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
center_transfer is a sports team position	1111	06-jul-2018	99.0
sick_computer is an item found on a table	1111	06-jul-2018	99.8
ball_gloves is sports equipment	1111	06-jul-2018	96.5
n1964_buenos_aires_grand_prix is a sporting event	1111	06-jul-2018	100.0
mcfunsoft_psp_video_converter is a consumer electronic device	1111	06-jul-2018	99.9
the sports leage cfl uses the venue investors_group_field	1111	06-jul-2018	100.0
citigroup is a company headquartered in the city nueva_york	1116	12-sep-2018	100.0
n6115 is a room in the building gates___hilman_centers	1116	12-sep-2018	100.0
larger_animals is an animal that preys on deer	1112	24-jul-2018	100.0
peachtree_street is a street in the city atlanta	1116	12-sep-2018	100.0