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
voip_phone is an item found on a table	1111	06-jul-2018	100.0
energy_plaza is a skyscraper	1111	06-jul-2018	99.8
em_poker_texaspoker is a sporting event	1111	06-jul-2018	100.0
michael_dawson is a European person	1111	06-jul-2018	100.0
two_similar_triangles is a geometric shape	1111	06-jul-2018	93.2
greg_golson is an athlete who led yankees	1116	12-sep-2018	96.9
system001 is a subpart of the body within response	1111	06-jul-2018	100.0
kick is a person who has residence in the geopolitical location new_south_wales	1116	12-sep-2018	100.0
lg_electronics_inc was responsible for lg_2014_smart_tvs__everything_you_need_to_know	1115	03-sep-2018	100.0
cornell graduated from college	1114	25-aug-2018	99.6